20 results on '"Yılmaz, Ergin"'
Search Results
2. Impacts of autapse on chaotic resonance in single neurons and small-world neuronal networks
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Baysal, Veli, Erkan, Erdem, and Yilmaz, Ergin
- Published
- 2021
3. Chaotic Signal Induced Delay Decay in Hodgkin-Huxley Neuron
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Baysal, Veli and Yılmaz, Ergin
- Published
- 2021
- Full Text
- View/download PDF
4. Raising Hydropsyche instabilis Curtis, 1834 and Hydropsyche bulbifera McLachlan, 1878 (Hydropsychidae, Trichoptera) Larvae in the Laboratory: Larval Morphology and Male Genital Characterization
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Küçükbasmacı, İbrahim, Yılmaz, Ergin, Küçükbasmacı, İbrahim, and Yılmaz, Ergin
- Abstract
Observing of life cycle of aquatic insects can be easier and more reliable information can be collected by raising them in a controlled medium in the laboratory. There is insufficient information about larvae and other life stages in many species of aquatic insects. In order to identify and determine them properly, stages of larvae and pupa should be linked with their adult forms. In this study, the larvae of Hydropsyche instabilis Curtis, 1834 and Hydropsyche bulbifera McLachlan, 1878 (Hydropsychidae, Trichoptera) which were collected from the two rivers were reared in the laboratory. Additionally, it was collected detailed information about the morphological characters of larvae and adult forms. Moreover, it has been observed the process of metamorphosis in larvae and the emergence of adults. The morphological characters of the larvae and the male genital structures of the adults were photographed and explained. During the study, raising success of H. instabilis and H. bulbifera species was determined as 17.85% and 15.65%, respectively.
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- 2023
5. Raising Hydropsyche instabilis Curtis, 1834 and Hydropsyche bulbifera McLachlan, 1878 (Hydropsychidae, Trichoptera) Larvae in the Laboratory: Larval Morphology and Male Genital Characterization
- Author
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Yılmaz, Ergin, Küçükbasmacı, İbrahim, Yılmaz, Ergin, and Küçükbasmacı, İbrahim
- Abstract
Observing of life cycle of aquatic insects can be easier and more reliable information can be collected by raising them in a controlled medium in the laboratory. There is insufficient information about larvae and other life stages in many species of aquatic insects. In order to identify and determine them properly, stages of larvae and pupa should be linked with their adult forms. In this study, the larvae of Hydropsyche instabilis Curtis, 1834 and Hydropsyche bulbifera McLachlan, 1878 (Hydropsychidae, Trichoptera) which were collected from the two rivers were reared in the laboratory. Additionally, it was collected detailed information about the morphological characters of larvae and adult forms. Moreover, it has been observed the process of metamorphosis in larvae and the emergence of adults. The morphological characters of the larvae and the male genital structures of the adults were photographed and explained. During the study, raising success of H. instabilis and H. bulbifera species was determined as 17.85% and 15.65%, respectively.
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- 2023
6. Vibrational resonance in a heterogeneous scale free network of neurons
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Uzuntarla, Muhammet, Yilmaz, Ergin, Wagemakers, Alexandre, and Ozer, Mahmut
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- 2015
- Full Text
- View/download PDF
7. Impacts of hybrid synapses on the noise-delayed decay in scale-free neural networks
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Yilmaz, Ergin
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- 2014
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- View/download PDF
8. Noise-delayed decay in the response of a scale-free neuronal network
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Uzuntarla, Muhammet, Uzun, Rukiye, Yilmaz, Ergin, Ozer, Mahmut, and Perc, Matjaž
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- 2013
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9. Impact of The Ion Channel Blockage on the Collective Spiking Regularity of a Scale-Free Neuronal Network
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Yılmaz, Ergin, Özer, Mahmut, and Cavuşoğlu, Abdullah
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- 2012
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10. The influence of effective microorganisms on physiological characteristics of containerized taurus cedar ( Cedrus libani A. Rich.) seedlings
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Ayan, Sezgin, primary, Çalışkan, Ebru, additional, ÖZEL, Halil Barış, additional, Çelik, Esra Nurten Yer, additional, Yılmaz, Ergin, additional, Gülseven, Orhan, additional, and Akın, Şeyma Selin, additional
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- 2022
- Full Text
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11. Comparisons of various pulse shapes for DS-UWB signals over the UWB channel
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Öztürk, Ertan and Yılmaz, Ergin
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- 2009
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12. Effects of high heat shocks on seed germination in Turkish Red Pine (Pinus brutia Ten.) populations
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Ayan, Sezgin, primary, Erkan, Cihan, additional, Gülseven, Orhan, additional, AKIN, Şeyma Selin, additional, Yılmaz, Ergin, additional, and Yer Çelik, Esra Nurten, additional
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- 2019
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13. Biosensors for Detection of Polycyclic Aromatic Hydrocarbons
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Yılmaz, Ergin, primary and Yazgan, İdris, additional
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- 2019
- Full Text
- View/download PDF
14. Effects of astrocyte on weak signal detection performance of Hodgkin–Huxley neuron
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Erkan, Yasemin, primary, Saraç, Zehra, additional, and Yılmaz, Ergin, additional
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- 2019
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15. Astrositlerin noron dmamiklenne etkileri fifects of astrocytes on neuronal dynamics
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Erkan, Yasemin, Özer, Mahmut, Yılmaz, Ergin, and Zonguldak Bülent Ecevit Üniversitesi
- Subjects
astrocyte ,Ca2+ oscillations ,neuron - Abstract
Medical Technologies National Congress (TIPTEKNO) -- OCT 12-14, 2017 -- TRABZON, TURKEY, WOS: 000427649500043, Astrocytes are star-shaped glia cells and the most common cell type in the human brain with neurons. Astrocytes fulfill many functions in human brain. Providing support to the cells of the blood-brain barrier, balancing the extracellular ion concentration, supplying nutrients to the nerve tissue, and controlling the development of nerve cells are some of these tasks. In this study, the effects of calcium (Ca') ion concentration oscillations occuring in astrocytes on the neuron firing dynamics are investigated. When the obtained results are examined, it is observed that the production rate of insole 1,4,5-triphosphate (IP3), which is an agent that triggers calcium release from the resoruces in astrocytes, and the degradation time of that within the cell are important effects on the spike production dynamics of the neuron in contact with astrocyte. It is determined that neurons without any stimulation continue to produce spikes through calcium oscillations in the astrocytes, at high IP3 production rates and longer IP3 degradation times., IEEE Turkey Sect
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- 2017
16. Stochastic multi-resonances on scale-free Hodgkin-Huxley neuronal networks via pacemaker
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Yılmaz, Ergin, Özer, Mahmut, Kiray, V, Ozcan, R, Malas, T, and Zonguldak Bülent Ecevit Üniversitesi
- Subjects
scale-free network ,ion channel noise ,stochastic resonance ,pacemaker - Abstract
9th International Conference on Electronics Computer and Computation (ICECCO 2012) -- NOV 01-03, 2012 -- Ankara, TURKEY, WOS: 000396806300013, Contradictory to the intuitive belief, noise has constructive effects on the dynamical processes in nonlinear systems. In this paper, we investigated the effects of the frequency of stimuli, which is introduced to the one of the neuron that acts as a pacemaker and the information transmission delay on the stochastic resonance phenomena depends on channel noise in scale-free Hodgkin-Huxley (HH) neuronal networks. The obtained results reveal that irrespective of the placing of the pacemaker within the network there exists several frequencies at which the correlation between the rhythm of pacemaker and the response of the network resonantly depends on channel noise intensity. The results also demonstrated that proper values of delays can trigger stochastic multiresonances occurring that at every multiple of the pacemaker's oscillation period., Int Assoc Univ, Surat Technol, Yildirim Elect, BMD Solar
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- 2012
17. 25th Annual Computational Neuroscience Meeting: CNS-2016
- Author
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Sharpee, Tatyana O., Destexhe, Alain, Kawato, Mitsuo, Sekulić, Vladislav, Skinner, Frances K., Wójcik, Daniel K., Chintaluri, Chaitanya, Cserpán, Dorottya, Somogyvári, Zoltán, Kim, Jae Kyoung, Kilpatrick, Zachary P., Bennett, Matthew R., Josić, Kresimir, Elices, Irene, Arroyo, David, Levi, Rafael, Rodriguez, Francisco B., Varona, Pablo, Hwang, Eunjin, Kim, Bowon, Han, Hio-Been, Kim, Tae, McKenna, James T., Brown, Ritchie E., McCarley, Robert W., Choi, Jee Hyun, Rankin, James, Popp, Pamela Osborn, Rinzel, John, Tabas, Alejandro, Rupp, André, Balaguer-Ballester, Emili, Maturana, Matias I., Grayden, David B., Cloherty, Shaun L., Kameneva, Tatiana, Ibbotson, Michael R., Meffin, Hamish, Koren, Veronika, Lochmann, Timm, Dragoi, Valentin, Obermayer, Klaus, Psarrou, Maria, Schilstra, Maria, Davey, Neil, Torben-Nielsen, Benjamin, Steuber, Volker, Ju, Huiwen, Yu, Jiao, Hines, Michael L., Chen, Liang, Yu, Yuguo, Kim, Jimin, Leahy, Will, Shlizerman, Eli, Birgiolas, Justas, Gerkin, Richard C., Crook, Sharon M., Viriyopase, Atthaphon, Memmesheimer, Raoul-Martin, Gielen, Stan, Dabaghian, Yuri, DeVito, Justin, Perotti, Luca, Kim, Anmo J., Fenk, Lisa M., Cheng, Cheng, Maimon, Gaby, Zhao, Chang, Widmer, Yves, Sprecher, Simon, Senn, Walter, Halnes, Geir, Mäki-Marttunen, Tuomo, Keller, Daniel, Pettersen, Klas H., Andreassen, Ole A., Einevoll, Gaute T., Yamada, Yasunori, Steyn-Ross, Moira L., Alistair Steyn-Ross, D., Mejias, Jorge F., Murray, John D., Kennedy, Henry, Wang, Xiao-Jing, Kruscha, Alexandra, Grewe, Jan, Benda, Jan, Lindner, Benjamin, Badel, Laurent, Ohta, Kazumi, Tsuchimoto, Yoshiko, Kazama, Hokto, Kahng, B., Tam, Nicoladie D., Pollonini, Luca, Zouridakis, George, Soh, Jaehyun, Kim, DaeEun, Yoo, Minsu, Palmer, S. E., Culmone, Viviana, Bojak, Ingo, Ferrario, Andrea, Merrison-Hort, Robert, Borisyuk, Roman, Kim, Chang Sub, Tezuka, Taro, Joo, Pangyu, Rho, Young-Ah, Burton, Shawn D., Bard Ermentrout, G., Jeong, Jaeseung, Urban, Nathaniel N., Marsalek, Petr, Kim, Hoon-Hee, Moon, Seok-hyun, Lee, Do-won, Lee, Sung-beom, Lee, Ji-yong, Molkov, Yaroslav I., Hamade, Khaldoun, Teka, Wondimu, Barnett, William H., Kim, Taegyo, Markin, Sergey, Rybak, Ilya A., Forro, Csaba, Dermutz, Harald, Demkó, László, Vörös, János, Babichev, Andrey, Huang, Haiping, Verduzco-Flores, Sergio, Dos Santos, Filipa, Andras, Peter, Metzner, Christoph, Schweikard, Achim, Zurowski, Bartosz, Roach, James P., Sander, Leonard M., Zochowski, Michal R., Skilling, Quinton M., Ognjanovski, Nicolette, Aton, Sara J., Zochowski, Michal, Wang, Sheng-Jun, Ouyang, Guang, Guang, Jing, Zhang, Mingsha, Michael Wong, K. Y., Zhou, Changsong, Robinson, Peter A., Sanz-Leon, Paula, Drysdale, Peter M., Fung, Felix, Abeysuriya, Romesh G., Rennie, Chris J., Zhao, Xuelong, Choe, Yoonsuck, Yang, Huei-Fang, Mi, Yuanyuan, Lin, Xiaohan, Wu, Si, Liedtke, Joscha, Schottdorf, Manuel, Wolf, Fred, Yamamura, Yoriko, Wickens, Jeffery R., Rumbell, Timothy, Ramsey, Julia, Reyes, Amy, Draguljić, Danel, Hof, Patrick R., Luebke, Jennifer, Weaver, Christina M., He, Hu, Yang, Xu, Ma, Hailin, Xu, Zhiheng, Wang, Yuzhe, Baek, Kwangyeol, Morris, Laurel S., Kundu, Prantik, Voon, Valerie, Agnes, Everton J., Vogels, Tim P., Podlaski, William F., Giese, Martin, Kuravi, Pradeep, Vogels, Rufin, Seeholzer, Alexander, Podlaski, William, Ranjan, Rajnish, Vogels, Tim, Torres, Joaquin J., Baroni, Fabiano, Latorre, Roberto, Gips, Bart, Lowet, Eric, Roberts, Mark J., de Weerd, Peter, Jensen, Ole, van der Eerden, Jan, Goodarzinick, Abdorreza, Niry, Mohammad D., Valizadeh, Alireza, Pariz, Aref, Parsi, Shervin S., Warburton, Julia M., Marucci, Lucia, Tamagnini, Francesco, Brown, Jon, Tsaneva-Atanasova, Krasimira, Kleberg, Florence I., Triesch, Jochen, Moezzi, Bahar, Iannella, Nicolangelo, Schaworonkow, Natalie, Plogmacher, Lukas, Goldsworthy, Mitchell R., Hordacre, Brenton, McDonnell, Mark D., Ridding, Michael C., Zapotocky, Martin, Smit, Daniel, Fouquet, Coralie, Trembleau, Alain, Dasgupta, Sakyasingha, Nishikawa, Isao, Aihara, Kazuyuki, Toyoizumi, Taro, Robb, Daniel T., Mellen, Nick, Toporikova, Natalia, Tang, Rongxiang, Tang, Yi-Yuan, Liang, Guangsheng, Kiser, Seth A., Howard, James H., Goncharenko, Julia, Voronenko, Sergej O., Ahamed, Tosif, Stephens, Greg, Yger, Pierre, Lefebvre, Baptiste, Spampinato, Giulia Lia Beatrice, Esposito, Elric, et Olivier Marre, Marcel Stimberg, Choi, Hansol, Song, Min-Ho, Chung, SueYeon, Lee, Dan D., Sompolinsky, Haim, Phillips, Ryan S., Smith, Jeffrey, Chatzikalymniou, Alexandra Pierri, Ferguson, Katie, Alex Cayco Gajic, N., Clopath, Claudia, Angus Silver, R., Gleeson, Padraig, Marin, Boris, Sadeh, Sadra, Quintana, Adrian, Cantarelli, Matteo, Dura-Bernal, Salvador, Lytton, William W., Davison, Andrew, Li, Luozheng, Zhang, Wenhao, Wang, Dahui, Song, Youngjo, Park, Sol, Choi, Ilhwan, Shin, Hee-sup, Choi, Hannah, Pasupathy, Anitha, Shea-Brown, Eric, Huh, Dongsung, Sejnowski, Terrence J., Vogt, Simon M., Kumar, Arvind, Schmidt, Robert, Van Wert, Stephen, Schiff, Steven J., Veale, Richard, Scheutz, Matthias, Lee, Sang Wan, Gallinaro, Júlia, Rotter, Stefan, Rubchinsky, Leonid L., Cheung, Chung Ching, Ratnadurai-Giridharan, Shivakeshavan, Shomali, Safura Rashid, Ahmadabadi, Majid Nili, Shimazaki, Hideaki, Nader Rasuli, S., Zhao, Xiaochen, Rasch, Malte J., Wilting, Jens, Priesemann, Viola, Levina, Anna, Rudelt, Lucas, Lizier, Joseph T., Spinney, Richard E., Rubinov, Mikail, Wibral, Michael, Bak, Ji Hyun, Pillow, Jonathan, Zaho, Yuan, Park, Il Memming, Kang, Jiyoung, Park, Hae-Jeong, Jang, Jaeson, Paik, Se-Bum, Choi, Woochul, Lee, Changju, Song, Min, Lee, Hyeonsu, Park, Youngjin, Yilmaz, Ergin, Baysal, Veli, Ozer, Mahmut, Saska, Daniel, Nowotny, Thomas, Chan, Ho Ka, Diamond, Alan, Herrmann, Christoph S., Murray, Micah M., Ionta, Silvio, Hutt, Axel, Lefebvre, Jérémie, Weidel, Philipp, Duarte, Renato, Morrison, Abigail, Lee, Jung H., Iyer, Ramakrishnan, Mihalas, Stefan, Koch, Christof, Petrovici, Mihai A., Leng, Luziwei, Breitwieser, Oliver, Stöckel, David, Bytschok, Ilja, Martel, Roman, Bill, Johannes, Schemmel, Johannes, Meier, Karlheinz, Esler, Timothy B., Burkitt, Anthony N., Kerr, Robert R., Tahayori, Bahman, Nolte, Max, Reimann, Michael W., Muller, Eilif, Markram, Henry, Parziale, Antonio, Senatore, Rosa, Marcelli, Angelo, Skiker, K., Maouene, M., Neymotin, Samuel A., Seidenstein, Alexandra, Lakatos, Peter, Sanger, Terence D., Menzies, Rosemary J., McLauchlan, Campbell, van Albada, Sacha J., Kedziora, David J., Neymotin, Samuel, Kerr, Cliff C., Suter, Benjamin A., Shepherd, Gordon M. G., Ryu, Juhyoung, Lee, Sang-Hun, Lee, Joonwon, Lee, Hyang Jung, Lim, Daeseob, Wang, Jisung, Lee, Heonsoo, Jung, Nam, Anh Quang, Le, Maeng, Seung Eun, Lee, Tae Ho, Lee, Jae Woo, Park, Chang-hyun, Ahn, Sora, Moon, Jangsup, Choi, Yun Seo, Kim, Juhee, Jun, Sang Beom, Lee, Seungjun, Lee, Hyang Woon, Jo, Sumin, Jun, Eunji, Yu, Suin, Goetze, Felix, Lai, Pik-Yin, Kim, Seonghyun, Kwag, Jeehyun, Jang, Hyun Jae, Filipović, Marko, Reig, Ramon, Aertsen, Ad, Silberberg, Gilad, Bachmann, Claudia, Buttler, Simone, Jacobs, Heidi, Dillen, Kim, Fink, Gereon R., Kukolja, Juraj, Kepple, Daniel, Giaffar, Hamza, Rinberg, Dima, Shea, Steven, Koulakov, Alex, Bahuguna, Jyotika, Tetzlaff, Tom, Kotaleski, Jeanette Hellgren, Kunze, Tim, Peterson, Andre, Knösche, Thomas, Kim, Minjung, Kim, Hojeong, Park, Ji Sung, Yeon, Ji Won, Kim, Sung-Phil, Kang, Jae-Hwan, Lee, Chungho, Spiegler, Andreas, Petkoski, Spase, Palva, Matias J., Jirsa, Viktor K., Saggio, Maria L., Siep, Silvan F., Stacey, William C., Bernar, Christophe, Choung, Oh-hyeon, Jeong, Yong, Lee, Yong-il, Kim, Su Hyun, Jeong, Mir, Lee, Jeungmin, Kwon, Jaehyung, Kralik, Jerald D., Jahng, Jaehwan, Hwang, Dong-Uk, Kwon, Jae-Hyung, Park, Sang-Min, Kim, Seongkyun, Kim, Hyoungkyu, Kim, Pyeong Soo, Yoon, Sangsup, Lim, Sewoong, Park, Choongseok, Miller, Thomas, Clements, Katie, Ahn, Sungwoo, Ji, Eoon Hye, Issa, Fadi A., Baek, JeongHun, Oba, Shigeyuki, Yoshimoto, Junichiro, Doya, Kenji, Ishii, Shin, Mosqueiro, Thiago S., Strube-Bloss, Martin F., Smith, Brian, Huerta, Ramon, Hadrava, Michal, Hlinka, Jaroslav, Bos, Hannah, Helias, Moritz, Welzig, Charles M., Harper, Zachary J., Kim, Won Sup, Shin, In-Seob, Baek, Hyeon-Man, Han, Seung Kee, Richter, René, Vitay, Julien, Beuth, Frederick, Hamker, Fred H., Toppin, Kelly, Guo, Yixin, Graham, Bruce P., Kale, Penelope J., Gollo, Leonardo L., Stern, Merav, Abbott, L. F., Fedorov, Leonid A., Giese, Martin A., Ardestani, Mohammad Hovaidi, Faraji, Mohammad Javad, Preuschoff, Kerstin, Gerstner, Wulfram, van Gendt, Margriet J., Briaire, Jeroen J., Kalkman, Randy K., Frijns, Johan H. M., Lee, Won Hee, Frangou, Sophia, Fulcher, Ben D., Tran, Patricia H. P., Fornito, Alex, Gliske, Stephen V., Lim, Eugene, Holman, Katherine A., Fink, Christian G., Kim, Jinseop S., Mu, Shang, Briggman, Kevin L., Sebastian Seung, H., Wegener, Detlef, Bohnenkamp, Lisa, Ernst, Udo A., Devor, Anna, Dale, Anders M., Lines, Glenn T., Edwards, Andy, Tveito, Aslak, Hagen, Espen, Senk, Johanna, Diesmann, Markus, Schmidt, Maximilian, Bakker, Rembrandt, Shen, Kelly, Bezgin, Gleb, Hilgetag, Claus-Christian, van Albada, Sacha Jennifer, Sun, Haoqi, Sourina, Olga, Huang, Guang-Bin, Klanner, Felix, Denk, Cornelia, Glomb, Katharina, Ponce-Alvarez, Adrián, Gilson, Matthieu, Ritter, Petra, Deco, Gustavo, Witek, Maria A. G., Clarke, Eric F., Hansen, Mads, Wallentin, Mikkel, Kringelbach, Morten L., Vuust, Peter, Klingbeil, Guido, De Schutter, Erik, Chen, Weiliang, Zang, Yunliang, Hong, Sungho, Takashima, Akira, Zamora, Criseida, Gallimore, Andrew R., Goldschmidt, Dennis, Manoonpong, Poramate, Karoly, Philippa J., Freestone, Dean R., Soundry, Daniel, Kuhlmann, Levin, Paninski, Liam, Cook, Mark, Lee, Jaejin, Fishman, Yonatan I., Cohen, Yale E., Roberts, James A., Cocchi, Luca, Sweeney, Yann, Lee, Soohyun, Jung, Woo-Sung, Kim, Youngsoo, Jung, Younginha, Song, Yoon-Kyu, Chavane, Frédéric, Soman, Karthik, Muralidharan, Vignesh, Srinivasa Chakravarthy, V., Shivkumar, Sabyasachi, Mandali, Alekhya, Pragathi Priyadharsini, B., Mehta, Hima, Davey, Catherine E., Brinkman, Braden A. W., Kekona, Tyler, Rieke, Fred, Buice, Michael, De Pittà, Maurizio, Berry, Hugues, Brunel, Nicolas, Breakspear, Michael, Marsat, Gary, Drew, Jordan, Chapman, Phillip D., Daly, Kevin C., Bradle, Samual P., Seo, Sat Byul, Su, Jianzhong, Kavalali, Ege T., Blackwell, Justin, Shiau, LieJune, Buhry, Laure, Basnayake, Kanishka, Lee, Sue-Hyun, Levy, Brandon A., Baker, Chris I., Leleu, Timothée, Philips, Ryan T., and Chhabria, Karishma
- Abstract
Table of contents A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Nielsen, Volker Steuber O8 Analytic solution of cable energy function for cortical axons and dendrites Huiwen Ju, Jiao Yu, Michael L. Hines, Liang Chen, Yuguo Yu O9 C. elegans interactome: interactive visualization of Caenorhabditis elegans worm neuronal network Jimin Kim, Will Leahy, Eli Shlizerman O10 Is the model any good? Objective criteria for computational neuroscience model selection Justas Birgiolas, Richard C. Gerkin, Sharon M. Crook O11 Cooperation and competition of gamma oscillation mechanisms Atthaphon Viriyopase, Raoul-Martin Memmesheimer, Stan Gielen O12 A discrete structure of the brain waves Yuri Dabaghian, Justin DeVito, Luca Perotti O13 Direction-specific silencing of the Drosophila gaze stabilization system Anmo J. Kim, Lisa M. Fenk, Cheng Lyu, Gaby Maimon O14 What does the fruit fly think about values? A model of olfactory associative learning Chang Zhao, Yves Widmer, Simon Sprecher,Walter Senn O15 Effects of ionic diffusion on power spectra of local field potentials (LFP) Geir Halnes, Tuomo Mäki-Marttunen, Daniel Keller, Klas H. Pettersen,Ole A. Andreassen, Gaute T. Einevoll O16 Large-scale cortical models towards understanding relationship between brain structure abnormalities and cognitive deficits Yasunori Yamada O17 Spatial coarse-graining the brain: origin of minicolumns Moira L. Steyn-Ross, D. Alistair Steyn-Ross O18 Modeling large-scale cortical networks with laminar structure Jorge F. Mejias, John D. Murray, Henry Kennedy, Xiao-Jing Wang O19 Information filtering by partial synchronous spikes in a neural population Alexandra Kruscha, Jan Grewe, Jan Benda, Benjamin Lindner O20 Decoding context-dependent olfactory valence in Drosophila Laurent Badel, Kazumi Ohta, Yoshiko Tsuchimoto, Hokto Kazama P1 Neural network as a scale-free network: the role of a hub B. Kahng P2 Hemodynamic responses to emotions and decisions using near-infrared spectroscopy optical imaging Nicoladie D. Tam P3 Phase space analysis of hemodynamic responses to intentional movement directions using functional near-infrared spectroscopy (fNIRS) optical imaging technique Nicoladie D.Tam, Luca Pollonini, George Zouridakis P4 Modeling jamming avoidance of weakly electric fish Jaehyun Soh, DaeEun Kim P5 Synergy and redundancy of retinal ganglion cells in prediction Minsu Yoo, S. E. Palmer P6 A neural field model with a third dimension representing cortical depth Viviana Culmone, Ingo Bojak P7 Network analysis of a probabilistic connectivity model of the Xenopus tadpole spinal cord Andrea Ferrario, Robert Merrison-Hort, Roman Borisyuk P8 The recognition dynamics in the brain Chang Sub Kim P9 Multivariate spike train analysis using a positive definite kernel Taro Tezuka P10 Synchronization of burst periods may govern slow brain dynamics during general anesthesia Pangyu Joo P11 The ionic basis of heterogeneity affects stochastic synchrony Young-Ah Rho, Shawn D. Burton, G. Bard Ermentrout, Jaeseung Jeong, Nathaniel N. Urban P12 Circular statistics of noise in spike trains with a periodic component Petr Marsalek P14 Representations of directions in EEG-BCI using Gaussian readouts Hoon-Hee Kim, Seok-hyun Moon, Do-won Lee, Sung-beom Lee, Ji-yong Lee, Jaeseung Jeong P15 Action selection and reinforcement learning in basal ganglia during reaching movements Yaroslav I. Molkov, Khaldoun Hamade, Wondimu Teka, William H. Barnett, Taegyo Kim, Sergey Markin, Ilya A. Rybak P17 Axon guidance: modeling axonal growth in T-Junction assay Csaba Forro, Harald Dermutz, László Demkó, János Vörös P19 Transient cell assembly networks encode persistent spatial memories Yuri Dabaghian, Andrey Babichev P20 Theory of population coupling and applications to describe high order correlations in large populations of interacting neurons Haiping Huang P21 Design of biologically-realistic simulations for motor control Sergio Verduzco-Flores P22 Towards understanding the functional impact of the behavioural variability of neurons Filipa Dos Santos, Peter Andras P23 Different oscillatory dynamics underlying gamma entrainment deficits in schizophrenia Christoph Metzner, Achim Schweikard, Bartosz Zurowski P24 Memory recall and spike frequency adaptation James P. Roach, Leonard M. Sander, Michal R. Zochowski P25 Stability of neural networks and memory consolidation preferentially occur near criticality Quinton M. Skilling, Nicolette Ognjanovski, Sara J. Aton, Michal Zochowski P26 Stochastic Oscillation in Self-Organized Critical States of Small Systems: Sensitive Resting State in Neural Systems Sheng-Jun Wang, Guang Ouyang, Jing Guang, Mingsha Zhang, K. Y. Michael Wong, Changsong Zhou P27 Neurofield: a C++ library for fast simulation of 2D neural field models Peter A. Robinson, Paula Sanz-Leon, Peter M. Drysdale, Felix Fung, Romesh G. Abeysuriya, Chris J. Rennie, Xuelong Zhao P28 Action-based grounding: Beyond encoding/decoding in neural code Yoonsuck Choe, Huei-Fang Yang P29 Neural computation in a dynamical system with multiple time scales Yuanyuan Mi, Xiaohan Lin, Si Wu P30 Maximum entropy models for 3D layouts of orientation selectivity Joscha Liedtke, Manuel Schottdorf, Fred Wolf P31 A behavioral assay for probing computations underlying curiosity in rodents Yoriko Yamamura, Jeffery R. Wickens P32 Using statistical sampling to balance error function contributions to optimization of conductance-based models Timothy Rumbell, Julia Ramsey, Amy Reyes, Danel Draguljić, Patrick R. Hof, Jennifer Luebke, Christina M. Weaver P33 Exploration and implementation of a self-growing and self-organizing neuron network building algorithm Hu He, Xu Yang, Hailin Ma, Zhiheng Xu, Yuzhe Wang P34 Disrupted resting state brain network in obese subjects: a data-driven graph theory analysis Kwangyeol Baek, Laurel S. Morris, Prantik Kundu, Valerie Voon P35 Dynamics of cooperative excitatory and inhibitory plasticity Everton J. Agnes, Tim P. Vogels P36 Frequency-dependent oscillatory signal gating in feed-forward networks of integrate-and-fire neurons William F. Podlaski, Tim P. Vogels P37 Phenomenological neural model for adaptation of neurons in area IT Martin Giese, Pradeep Kuravi, Rufin Vogels P38 ICGenealogy: towards a common topology of neuronal ion channel function and genealogy in model and experiment Alexander Seeholzer, William Podlaski, Rajnish Ranjan, Tim Vogels P39 Temporal input discrimination from the interaction between dynamic synapses and neural subthreshold oscillations Joaquin J. Torres, Fabiano Baroni, Roberto Latorre, Pablo Varona P40 Different roles for transient and sustained activity during active visual processing Bart Gips, Eric Lowet, Mark J. Roberts, Peter de Weerd, Ole Jensen, Jan van der Eerden P41 Scale-free functional networks of 2D Ising model are highly robust against structural defects: neuroscience implications Abdorreza Goodarzinick, Mohammad D. Niry, Alireza Valizadeh P42 High frequency neuron can facilitate propagation of signal in neural networks Aref Pariz, Shervin S. Parsi, Alireza Valizadeh P43 Investigating the effect of Alzheimer’s disease related amyloidopathy on gamma oscillations in the CA1 region of the hippocampus Julia M. Warburton, Lucia Marucci, Francesco Tamagnini, Jon Brown, Krasimira Tsaneva-Atanasova P44 Long-tailed distributions of inhibitory and excitatory weights in a balanced network with eSTDP and iSTDP Florence I. Kleberg, Jochen Triesch P45 Simulation of EMG recording from hand muscle due to TMS of motor cortex Bahar Moezzi, Nicolangelo Iannella, Natalie Schaworonkow, Lukas Plogmacher, Mitchell R. Goldsworthy, Brenton Hordacre, Mark D. McDonnell, Michael C. Ridding, Jochen Triesch P46 Structure and dynamics of axon network formed in primary cell culture Martin Zapotocky, Daniel Smit, Coralie Fouquet, Alain Trembleau P47 Efficient signal processing and sampling in random networks that generate variability Sakyasingha Dasgupta, Isao Nishikawa, Kazuyuki Aihara, Taro Toyoizumi P48 Modeling the effect of riluzole on bursting in respiratory neural networks Daniel T. Robb, Nick Mellen, Natalia Toporikova P49 Mapping relaxation training using effective connectivity analysis Rongxiang Tang, Yi-Yuan Tang P50 Modeling neuron oscillation of implicit sequence learning Guangsheng Liang, Seth A. Kiser, James H. Howard, Jr., Yi-Yuan Tang P51 The role of cerebellar short-term synaptic plasticity in the pathology and medication of downbeat nystagmus Julia Goncharenko, Neil Davey, Maria Schilstra, Volker Steuber P52 Nonlinear response of noisy neurons Sergej O. Voronenko, Benjamin Lindner P53 Behavioral embedding suggests multiple chaotic dimensions underlie C. elegans locomotion Tosif Ahamed, Greg Stephens P54 Fast and scalable spike sorting for large and dense multi-electrodes recordings Pierre Yger, Baptiste Lefebvre, Giulia Lia Beatrice Spampinato, Elric Esposito, Marcel Stimberg et Olivier Marre P55 Sufficient sampling rates for fast hand motion tracking Hansol Choi, Min-Ho Song P56 Linear readout of object manifolds SueYeon Chung, Dan D. Lee, Haim Sompolinsky P57 Differentiating models of intrinsic bursting and rhythm generation of the respiratory pre-Bötzinger complex using phase response curves Ryan S. Phillips, Jeffrey Smith P58 The effect of inhibitory cell network interactions during theta rhythms on extracellular field potentials in CA1 hippocampus Alexandra Pierri Chatzikalymniou, Katie Ferguson, Frances K. Skinner P59 Expansion recoding through sparse sampling in the cerebellar input layer speeds learning N. Alex Cayco Gajic, Claudia Clopath, R. Angus Silver P60 A set of curated cortical models at multiple scales on Open Source Brain Padraig Gleeson, Boris Marin, Sadra Sadeh, Adrian Quintana, Matteo Cantarelli, Salvador Dura-Bernal, William W. Lytton, Andrew Davison, R. Angus Silver P61 A synaptic story of dynamical information encoding in neural adaptation Luozheng Li, Wenhao Zhang, Yuanyuan Mi, Dahui Wang, Si Wu P62 Physical modeling of rule-observant rodent behavior Youngjo Song, Sol Park, Ilhwan Choi, Jaeseung Jeong, Hee-sup Shin P64 Predictive coding in area V4 and prefrontal cortex explains dynamic discrimination of partially occluded shapes Hannah Choi, Anitha Pasupathy, Eric Shea-Brown P65 Stability of FORCE learning on spiking and rate-based networks Dongsung Huh, Terrence J. Sejnowski P66 Stabilising STDP in striatal neurons for reliable fast state recognition in noisy environments Simon M. Vogt, Arvind Kumar, Robert Schmidt P67 Electrodiffusion in one- and two-compartment neuron models for characterizing cellular effects of electrical stimulation Stephen Van Wert, Steven J. Schiff P68 STDP improves speech recognition capabilities in spiking recurrent circuits parameterized via differential evolution Markov Chain Monte Carlo Richard Veale, Matthias Scheutz P69 Bidirectional transformation between dominant cortical neural activities and phase difference distributions Sang Wan Lee P70 Maturation of sensory networks through homeostatic structural plasticity Júlia Gallinaro, Stefan Rotter P71 Corticothalamic dynamics: structure, number of solutions and stability of steady-state solutions in the space of synaptic couplings Paula Sanz-Leon, Peter A. Robinson P72 Optogenetic versus electrical stimulation of the parkinsonian basal ganglia. Computational study Leonid L. Rubchinsky, Chung Ching Cheung, Shivakeshavan Ratnadurai-Giridharan P73 Exact spike-timing distribution reveals higher-order interactions of neurons Safura Rashid Shomali, Majid Nili Ahmadabadi, Hideaki Shimazaki, S. Nader Rasuli P74 Neural mechanism of visual perceptual learning using a multi-layered neural network Xiaochen Zhao, Malte J. Rasch P75 Inferring collective spiking dynamics from mostly unobserved systems Jens Wilting, Viola Priesemann P76 How to infer distributions in the brain from subsampled observations Anna Levina, Viola Priesemann P77 Influences of embedding and estimation strategies on the inferred memory of single spiking neurons Lucas Rudelt, Joseph T. Lizier, Viola Priesemann P78 A nearest-neighbours based estimator for transfer entropy between spike trains Joseph T. Lizier, Richard E. Spinney, Mikail Rubinov, Michael Wibral, Viola Priesemann P79 Active learning of psychometric functions with multinomial logistic models Ji Hyun Bak, Jonathan Pillow P81 Inferring low-dimensional network dynamics with variational latent Gaussian process Yuan Zaho, Il Memming Park P82 Computational investigation of energy landscapes in the resting state subcortical brain network Jiyoung Kang, Hae-Jeong Park P83 Local repulsive interaction between retinal ganglion cells can generate a consistent spatial periodicity of orientation map Jaeson Jang, Se-Bum Paik P84 Phase duration of bistable perception reveals intrinsic time scale of perceptual decision under noisy condition Woochul Choi, Se-Bum Paik P85 Feedforward convergence between retina and primary visual cortex can determine the structure of orientation map Changju Lee, Jaeson Jang, Se-Bum Paik P86 Computational method classifying neural network activity patterns for imaging data Min Song, Hyeonsu Lee, Se-Bum Paik P87 Symmetry of spike-timing-dependent-plasticity kernels regulates volatility of memory Youngjin Park, Woochul Choi, Se-Bum Paik P88 Effects of time-periodic coupling strength on the first-spike latency dynamics of a scale-free network of stochastic Hodgkin-Huxley neurons Ergin Yilmaz, Veli Baysal, Mahmut Ozer P89 Spectral properties of spiking responses in V1 and V4 change within the trial and are highly relevant for behavioral performance Veronika Koren, Klaus Obermayer P90 Methods for building accurate models of individual neurons Daniel Saska, Thomas Nowotny P91 A full size mathematical model of the early olfactory system of honeybees Ho Ka Chan, Alan Diamond, Thomas Nowotny P92 Stimulation-induced tuning of ongoing oscillations in spiking neural networks Christoph S. Herrmann, Micah M. Murray, Silvio Ionta, Axel Hutt, Jérémie Lefebvre P93 Decision-specific sequences of neural activity in balanced random networks driven by structured sensory input Philipp Weidel, Renato Duarte, Abigail Morrison P94 Modulation of tuning induced by abrupt reduction of SST cell activity Jung H. Lee, Ramakrishnan Iyer, Stefan Mihalas P95 The functional role of VIP cell activation during locomotion Jung H. Lee, Ramakrishnan Iyer, Christof Koch, Stefan Mihalas P96 Stochastic inference with spiking neural networks Mihai A. Petrovici, Luziwei Leng, Oliver Breitwieser, David Stöckel, Ilja Bytschok, Roman Martel, Johannes Bill, Johannes Schemmel, Karlheinz Meier P97 Modeling orientation-selective electrical stimulation with retinal prostheses Timothy B. Esler, Anthony N. Burkitt, David B. Grayden, Robert R. Kerr, Bahman Tahayori, Hamish Meffin P98 Ion channel noise can explain firing correlation in auditory nerves Bahar Moezzi, Nicolangelo Iannella, Mark D. McDonnell P99 Limits of temporal encoding of thalamocortical inputs in a neocortical microcircuit Max Nolte, Michael W. Reimann, Eilif Muller, Henry Markram P100 On the representation of arm reaching movements: a computational model Antonio Parziale, Rosa Senatore, Angelo Marcelli P101 A computational model for investigating the role of cerebellum in acquisition and retention of motor behavior Rosa Senatore, Antonio Parziale, Angelo Marcelli P102 The emergence of semantic categories from a large-scale brain network of semantic knowledge K. Skiker, M. Maouene P103 Multiscale modeling of M1 multitarget pharmacotherapy for dystonia Samuel A. Neymotin, Salvador Dura-Bernal, Alexandra Seidenstein, Peter Lakatos, Terence D. Sanger, William W. Lytton P104 Effect of network size on computational capacity Salvador Dura-Bernal, Rosemary J. Menzies, Campbell McLauchlan, Sacha J. van Albada, David J. Kedziora, Samuel Neymotin, William W. Lytton, Cliff C. Kerr P105 NetPyNE: a Python package for NEURON to facilitate development and parallel simulation of biological neuronal networks Salvador Dura-Bernal, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Adrian Quintana, Padraig Gleeson, Gordon M. G. Shepherd, William W. Lytton P107 Inter-areal and inter-regional inhomogeneity in co-axial anisotropy of Cortical Point Spread in human visual areas Juhyoung Ryu, Sang-Hun Lee P108 Two bayesian quanta of uncertainty explain the temporal dynamics of cortical activity in the non-sensory areas during bistable perception Joonwon Lee, Sang-Hun Lee P109 Optimal and suboptimal integration of sensory and value information in perceptual decision making Hyang Jung Lee, Sang-Hun Lee P110 A Bayesian algorithm for phoneme Perception and its neural implementation Daeseob Lim, Sang-Hun Lee P111 Complexity of EEG signals is reduced during unconsciousness induced by ketamine and propofol Jisung Wang, Heonsoo Lee P112 Self-organized criticality of neural avalanche in a neural model on complex networks Nam Jung, Le Anh Quang, Seung Eun Maeng, Tae Ho Lee, Jae Woo Lee P113 Dynamic alterations in connection topology of the hippocampal network during ictal-like epileptiform activity in an in vitro rat model Chang-hyun Park, Sora Ahn, Jangsup Moon, Yun Seo Choi, Juhee Kim, Sang Beom Jun, Seungjun Lee, Hyang Woon Lee P114 Computational model to replicate seizure suppression effect by electrical stimulation Sora Ahn, Sumin Jo, Eunji Jun, Suin Yu, Hyang Woon Lee, Sang Beom Jun, Seungjun Lee P115 Identifying excitatory and inhibitory synapses in neuronal networks from spike trains using sorted local transfer entropy Felix Goetze, Pik-Yin Lai P116 Neural network model for obstacle avoidance based on neuromorphic computational model of boundary vector cell and head direction cell Seonghyun Kim, Jeehyun Kwag P117 Dynamic gating of spike pattern propagation by Hebbian and anti-Hebbian spike timing-dependent plasticity in excitatory feedforward network model Hyun Jae Jang, Jeehyun Kwag P118 Inferring characteristics of input correlations of cells exhibiting up-down state transitions in the rat striatum Marko Filipović, Ramon Reig, Ad Aertsen, Gilad Silberberg, Arvind Kumar P119 Graph properties of the functional connected brain under the influence of Alzheimer’s disease Claudia Bachmann, Simone Buttler, Heidi Jacobs, Kim Dillen, Gereon R. Fink, Juraj Kukolja, Abigail Morrison P120 Learning sparse representations in the olfactory bulb Daniel Kepple, Hamza Giaffar, Dima Rinberg, Steven Shea, Alex Koulakov P121 Functional classification of homologous basal-ganglia networks Jyotika Bahuguna,Tom Tetzlaff, Abigail Morrison, Arvind Kumar, Jeanette Hellgren Kotaleski P122 Short term memory based on multistability Tim Kunze, Andre Peterson, Thomas Knösche P123 A physiologically plausible, computationally efficient model and simulation software for mammalian motor units Minjung Kim, Hojeong Kim P125 Decoding laser-induced somatosensory information from EEG Ji Sung Park, Ji Won Yeon, Sung-Phil Kim P126 Phase synchronization of alpha activity for EEG-based personal authentication Jae-Hwan Kang, Chungho Lee, Sung-Phil Kim P129 Investigating phase-lags in sEEG data using spatially distributed time delays in a large-scale brain network model Andreas Spiegler, Spase Petkoski, Matias J. Palva, Viktor K. Jirsa P130 Epileptic seizures in the unfolding of a codimension-3 singularity Maria L. Saggio, Silvan F. Siep, Andreas Spiegler, William C. Stacey, Christophe Bernard, Viktor K. Jirsa P131 Incremental dimensional exploratory reasoning under multi-dimensional environment Oh-hyeon Choung, Yong Jeong P132 A low-cost model of eye movements and memory in personal visual cognition Yong-il Lee, Jaeseung Jeong P133 Complex network analysis of structural connectome of autism spectrum disorder patients Su Hyun Kim, Mir Jeong, Jaeseung Jeong P134 Cognitive motives and the neural correlates underlying human social information transmission, gossip Jeungmin Lee, Jaehyung Kwon, Jerald D. Kralik, Jaeseung Jeong P135 EEG hyperscanning detects neural oscillation for the social interaction during the economic decision-making Jaehwan Jahng, Dong-Uk Hwang, Jaeseung Jeong P136 Detecting purchase decision based on hyperfrontality of the EEG Jae-Hyung Kwon, Sang-Min Park, Jaeseung Jeong P137 Vulnerability-based critical neurons, synapses, and pathways in the Caenorhabditis elegans connectome Seongkyun Kim, Hyoungkyu Kim, Jerald D. Kralik, Jaeseung Jeong P138 Motif analysis reveals functionally asymmetrical neurons in C. elegans Pyeong Soo Kim, Seongkyun Kim, Hyoungkyu Kim, Jaeseung Jeong P139 Computational approach to preference-based serial decision dynamics: do temporal discounting and working memory affect it? Sangsup Yoon, Jaehyung Kwon, Sewoong Lim, Jaeseung Jeong P141 Social stress induced neural network reconfiguration affects decision making and learning in zebrafish Choongseok Park, Thomas Miller, Katie Clements, Sungwoo Ahn, Eoon Hye Ji, Fadi A. Issa P142 Descriptive, generative, and hybrid approaches for neural connectivity inference from neural activity data JeongHun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii P145 Divergent-convergent synaptic connectivities accelerate coding in multilayered sensory systems Thiago S. Mosqueiro, Martin F. Strube-Bloss, Brian Smith, Ramon Huerta P146 Swinging networks Michal Hadrava, Jaroslav Hlinka P147 Inferring dynamically relevant motifs from oscillatory stimuli: challenges, pitfalls, and solutions Hannah Bos, Moritz Helias P148 Spatiotemporal mapping of brain network dynamics during cognitive tasks using magnetoencephalography and deep learning Charles M. Welzig, Zachary J. Harper P149 Multiscale complexity analysis for the segmentation of MRI images Won Sup Kim, In-Seob Shin, Hyeon-Man Baek, Seung Kee Han P150 A neuro-computational model of emotional attention René Richter, Julien Vitay, Frederick Beuth, Fred H. Hamker P151 Multi-site delayed feedback stimulation in parkinsonian networks Kelly Toppin, Yixin Guo P152 Bistability in Hodgkin–Huxley-type equations Tatiana Kameneva, Hamish Meffin, Anthony N. Burkitt, David B. Grayden P153 Phase changes in postsynaptic spiking due to synaptic connectivity and short term plasticity: mathematical analysis of frequency dependency Mark D. McDonnell, Bruce P. Graham P154 Quantifying resilience patterns in brain networks: the importance of directionality Penelope J. Kale, Leonardo L. Gollo P155 Dynamics of rate-model networks with separate excitatory and inhibitory populations Merav Stern, L. F. Abbott P156 A model for multi-stable dynamics in action recognition modulated by integration of silhouette and shading cues Leonid A. Fedorov, Martin A. Giese P157 Spiking model for the interaction between action recognition and action execution Mohammad Hovaidi Ardestani, Martin Giese P158 Surprise-modulated belief update: how to learn within changing environments? Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner P159 A fast, stochastic and adaptive model of auditory nerve responses to cochlear implant stimulation Margriet J. van Gendt, Jeroen J. Briaire, Randy K. Kalkman, Johan H. M. Frijns P160 Quantitative comparison of graph theoretical measures of simulated and empirical functional brain networks Won Hee Lee, Sophia Frangou P161 Determining discriminative properties of fMRI signals in schizophrenia using highly comparative time-series analysis Ben D. Fulcher, Patricia H. P. Tran, Alex Fornito P162 Emergence of narrowband LFP oscillations from completely asynchronous activity during seizures and high-frequency oscillations Stephen V. Gliske, William C. Stacey, Eugene Lim, Katherine A. Holman, Christian G. Fink P163 Neuronal diversity in structure and function: cross-validation of anatomical and physiological classification of retinal ganglion cells in the mouse Jinseop S. Kim, Shang Mu, Kevin L. Briggman, H. Sebastian Seung, the EyeWirers P164 Analysis and modelling of transient firing rate changes in area MT in response to rapid stimulus feature changes Detlef Wegener, Lisa Bohnenkamp, Udo A. Ernst P165 Step-wise model fitting accounting for high-resolution spatial measurements: construction of a layer V pyramidal cell model with reduced morphology Tuomo Mäki-Marttunen, Geir Halnes, Anna Devor, Christoph Metzner, Anders M. Dale, Ole A. Andreassen, Gaute T. Einevoll P166 Contributions of schizophrenia-associated genes to neuron firing and cardiac pacemaking: a polygenic modeling approach Tuomo Mäki-Marttunen, Glenn T. Lines, Andy Edwards, Aslak Tveito, Anders M. Dale, Gaute T. Einevoll, Ole A. Andreassen P167 Local field potentials in a 4 × 4 mm2 multi-layered network model Espen Hagen, Johanna Senk, Sacha J. van Albada, Markus Diesmann P168 A spiking network model explains multi-scale properties of cortical dynamics Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Claus-Christian Hilgetag, Markus Diesmann, Sacha Jennifer van Albada P169 Using joint weight-delay spike-timing dependent plasticity to find polychronous neuronal groups Haoqi Sun, Olga Sourina, Guang-Bin Huang, Felix Klanner, Cornelia Denk P170 Tensor decomposition reveals RSNs in simulated resting state fMRI Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco P171 Getting in the groove: testing a new model-based method for comparing task-evoked vs resting-state activity in fMRI data on music listening Matthieu Gilson, Maria AG Witek, Eric F. Clarke, Mads Hansen, Mikkel Wallentin, Gustavo Deco, Morten L. Kringelbach, Peter Vuust P172 STochastic engine for pathway simulation (STEPS) on massively parallel processors Guido Klingbeil, Erik De Schutter P173 Toolkit support for complex parallel spatial stochastic reaction–diffusion simulation in STEPS Weiliang Chen, Erik De Schutter P174 Modeling the generation and propagation of Purkinje cell dendritic spikes caused by parallel fiber synaptic input Yunliang Zang, Erik De Schutter P175 Dendritic morphology determines how dendrites are organized into functional subunits Sungho Hong, Akira Takashima, Erik De Schutter P176 A model of Ca2+/calmodulin-dependent protein kinase II activity in long term depression at Purkinje cells Criseida Zamora, Andrew R. Gallimore, Erik De Schutter P177 Reward-modulated learning of population-encoded vectors for insect-like navigation in embodied agents Dennis Goldschmidt, Poramate Manoonpong, Sakyasingha Dasgupta P178 Data-driven neural models part II: connectivity patterns of human seizures Philippa J. Karoly, Dean R. Freestone, Daniel Soundry, Levin Kuhlmann, Liam Paninski, Mark Cook P179 Data-driven neural models part I: state and parameter estimation Dean R. Freestone, Philippa J. Karoly, Daniel Soundry, Levin Kuhlmann, Mark Cook P180 Spectral and spatial information processing in human auditory streaming Jaejin Lee, Yonatan I. Fishman, Yale E. Cohen P181 A tuning curve for the global effects of local perturbations in neural activity: Mapping the systems-level susceptibility of the brain Leonardo L. Gollo, James A. Roberts, Luca Cocchi P182 Diverse homeostatic responses to visual deprivation mediated by neural ensembles Yann Sweeney, Claudia Clopath P183 Opto-EEG: a novel method for investigating functional connectome in mouse brain based on optogenetics and high density electroencephalography Soohyun Lee, Woo-Sung Jung, Jee Hyun Choi P184 Biphasic responses of frontal gamma network to repetitive sleep deprivation during REM sleep Bowon Kim, Youngsoo Kim, Eunjin Hwang, Jee Hyun Choi P185 Brain-state correlate and cortical connectivity for frontal gamma oscillations in top-down fashion assessed by auditory steady-state response Younginha Jung, Eunjin Hwang, Yoon-Kyu Song, Jee Hyun Choi P186 Neural field model of localized orientation selective activation in V1 James Rankin, Frédéric Chavane P187 An oscillatory network model of Head direction and Grid cells using locomotor inputs Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy P188 A computational model of hippocampus inspired by the functional architecture of basal ganglia Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy P189 A computational architecture to model the microanatomy of the striatum and its functional properties Sabyasachi Shivkumar, Vignesh Muralidharan, V. Srinivasa Chakravarthy P190 A scalable cortico-basal ganglia model to understand the neural dynamics of targeted reaching Vignesh Muralidharan, Alekhya Mandali, B. Pragathi Priyadharsini, Hima Mehta, V. Srinivasa Chakravarthy P191 Emergence of radial orientation selectivity from synaptic plasticity Catherine E. Davey, David B. Grayden, Anthony N. Burkitt P192 How do hidden units shape effective connections between neurons? Braden A. W. Brinkman, Tyler Kekona, Fred Rieke, Eric Shea-Brown, Michael Buice P193 Characterization of neural firing in the presence of astrocyte-synapse signaling Maurizio De Pittà, Hugues Berry, Nicolas Brunel P194 Metastability of spatiotemporal patterns in a large-scale network model of brain dynamics James A. Roberts, Leonardo L. Gollo, Michael Breakspear P195 Comparison of three methods to quantify detection and discrimination capacity estimated from neural population recordings Gary Marsat, Jordan Drew, Phillip D. Chapman, Kevin C. Daly, Samual P. Bradley P196 Quantifying the constraints for independent evoked and spontaneous NMDA receptor mediated synaptic transmission at individual synapses Sat Byul Seo, Jianzhong Su, Ege T. Kavalali, Justin Blackwell P199 Gamma oscillation via adaptive exponential integrate-and-fire neurons LieJune Shiau, Laure Buhry, Kanishka Basnayake P200 Visual face representations during memory retrieval compared to perception Sue-Hyun Lee, Brandon A. Levy, Chris I. Baker P201 Top-down modulation of sequential activity within packets modeled using avalanche dynamics Timothée Leleu, Kazuyuki Aihara Q28 An auto-encoder network realizes sparse features under the influence of desynchronized vascular dynamics Ryan T. Philips, Karishma Chhabria, V. Srinivasa Chakravarthy
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- 2016
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18. FFL ağ motiflerinde öz-sinapsın zayıf sinyal sezinlemeye etkileri
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Kilinçaslan, Salim, Yılmaz, Ergin, and Elektrik-Elektronik Mühendisliği Anabilim Dalı
- Subjects
Elektrik ve Elektronik Mühendisliği ,Electrical and Electronics Engineering - Abstract
Karmaşık ağ modelleri sinir sisteminde meydana gelen sinyal işleme ve aktarma mekanizmalarını açıklamak için nöral ağların modellenmesinde sıklıkla başvurulan yollardan biridir. Bu karmaşık ağ yapılarında yapıları nispeten daha basit olan ve kendini tekrar eden küçük grupların bulunduğu bilinmektedir. Ağ motifleri olarak adlandırılan bu yapılar karmaşık ağların temel yapı taşları olarak düşünülmektedir.Bu tez çalışmasında ileri yönlü döngü ağ motiflerinde (Feed Forward Loop Motifs, FFL) giriş nöronuna uygulanan zayıf sinyalin çıkış nöronu tarafından sezinlenmesi incelenmiştir. FFL ağ motifleri nöronlar arasındaki kimyasal sinapsın uyarıcı ya da bastırıcı olmasına göre inşa edilmiştir. Ayrıca çıkış nöronunun elektriksel bir öz-sinapsının var olduğu düşünülerek bu öz-sinapsın etkileri incelenmiştir. Öz-sinapsın olmadığı motif yapılarında zayıf sinyal sezinleme için en güvenli ve uygun motif yapısının FFL-T3 ve FFL-T7 motif yapısının olduğu gözlemlenmiştir. Bu durumda zayıf sinyalin çıkış nöronu tarafından sezinlenebilmesi için giriş nöronu ile çıkış nöronu arasındaki sinapsın uyarıcı olması gerektiği ya da ara nöron üzerinden iletimin yapıldığı sinapsların uyarıcı olması gerektiği belirlenmiştir.Öz-sinapsın bulunduğu motif yapılarında ise, motif yapısına bakılmaksızın tüm motiflerde çıkış nöronunun zayıf sinyal sezinleme performansının arttığı gözlemlenmiştir. Bu artışın sebebinin öz-sinapsın sisteme katmış olduğu zaman ölçeği ile uygulanan zayıf sinyalin periyodu arasındaki örtüşmeden kaynaklandığı tespit edilmiştir. Ayrıca öz-sinaps iletim gecikmesine bağlı olarak zayıf sinyalin periyodunun tam katlarında çoklu rezonans elde edilmiştir. Complex network models which are used in order to explain information processing and transmission mechanisms in nervous system, are frequently used to modeling the complex network topologies. It is known that in these complex network structures there are small groups which are relatively simple in structure and repeating themselves. These structures, which are called `network motifs`, are considered as the basic building blocks of complex networks.In this thesis, the detection of weak signal, applied to the input neuron, by the output neuron in Feed Forward Loop (FFL) motifs has been investigated. FFL network motifs are constructed depending on whether the chemical synapse between neurons is excitatory or inhibitory. In addition, the presence of an electrical autapse of the output neuron has been considered and the effects of this autapse have been investigated. It has been observed that FFL-T3 and FFL-T7 motif structure is the most reliable and suitable motif structure for weak signal detection in network motifs in case of without autapse. In this case, to detect the weaksignal by the output neuron, it has been determined that either the synapse between the input neuron and the output neuron must be excitatory or the synapses through which the weak signal is transmitted to output must be excitatory.In the motif structures with autapse, it has been observed that the weak signal detection performance of the output neuron is increased in all motifs regardless of the motif structure. It has been found that the reason for this increase was due to the matching between the time scale of the autapse and the period of weak signal which is applied to input neuron. In addition, multiple coherence resonances have been obtained at integer multiples of the period of the weak signal depending on autaptic time delay. 87
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- 2019
19. Astrosit hücresinin nöron dinamikleri üzerine etkileri
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Erkan, Yasemin, Saraç, Zehra, Yılmaz, Ergin, and Elektrik-Elektronik Mühendisliği Anabilim Dalı
- Subjects
Biyomühendislik ,Elektrik ve Elektronik Mühendisliği ,Bioengineering ,Electrical and Electronics Engineering - Abstract
Beyinde bulunan yaklaşık 100 milyar nöronla iç içe bulunan ve sayıca nöronlardan daha fazla olan glial hücrelere, bilimsel literatürde 1990'lara kadar neredeyse hiç değinilmemiştir. Glia hücrelerinin nöronların işlevini yerine getirebilmesi için destek elemanı olduğu düşünülmüştür. Bu çalışmanın odağı olan gliaların bir alt birimi olan astrositlerin yıldız şeklini andıran görüntüleri ve sinaptik boşluğu saran yapısı ile nöronlarla iletişm içindede oldukları son zamanlarda yapılan çalışmalarla dikkat çekmiştir. Astrositlerin de bir dış uyaranla uyarıldıklarında, aksiyon potansiyeli yerine üretebildikleri bir kalsiyum cevabının olduğu ortaya çıkarılmasıyla, nörolojik bilgi iletimi çalışmalarında kendine yer bulmaya başlamıştır. Merkezi sinir sisteminde yeni tanınan bu nöron ortağının, farklı yönleri hakkında yapılan çalışmalara oldukça ihtiyaç vardır. Nörolojik sistemlerin bilgi işlemesinde astrosit fonksiyonlarının incelenmesinde laboratuar teknik zorlukları nedeniyle, matematiksel modeler aracılığı ile benzetim çalışması uygun bir yaklaşımdır. Her ne kadar beynin eksiksiz bir matematiksel modelini oluşturmak imkansız olsa da bu çalışmaların keşfedilen farklı yapılarla desteklenmesi gerekmektedir. Bu tez çalışmasında astrositin nöral sistemlerde bilgi işleme üzerindeki etkilerini göstermek için, ilk olarak astrosit hücresini kontrol eden parametrelerin etkileri incelenmiştir. Daha sonra astrosit etkisi altında bulunan Hodgkin-Huxley nöronunun bilgi işleme performansı araştırılmıştır. Bu amaçla, H-H nöronu bilgi taşıdığı varsayılan zayıf bir sinyal ile uyarılarak, sistemde var olan gürültü seviyesine bağlı olarak vermiş olduğu cevap incelenmiştrir. Bu inceleme hem astrosit varken hemde yokken yapılarak, astrositin nöronun bilgi işleme performansı üzerindeki etkileri karşılaştırmalı olarak bulunmuştur. Nöronun bilgi işleme performansının, gürültü yoğunluğuna bağlı olarak stokastik rezonans etkisi gösterdiği bulunmuştur. Burada astrositli nöronun, astrosit içermeyen nöron ile karşılaştırıldığında, astrositli nöronun bilgi işleme performansınınuygun bir astrosit-nöron kuplaj değerinde önemli ölçüde arttığı gözlemlenmiştir. Elde edilen sonuçlar aynı zamanda en iyi sezinleme performansını sağlayan optimal bir zayıf sinyal frekansının varlığınını da ortaya koymaktadır. Son olarak kalsiyum ve iyon kanal gürültüsü modele dahil edilmiştir. Sonuçlar astrositte bulunan iyon kanallarının ve nöronda bulunan sodyum, potasyum gibi iyonlarin sebep olduğu optimal bilgi işlemeyi sağlayan bağlanma katsayısının, N ile ölçeklendirilen kalsiyum kanalı gürültü yoğunluğuna kritik olarak bağlı olduğunu ortaya koymaktadır. The glial cells, which are intertwined with approximately 100 billion neurons in the brain and are larger than the number of neurons, have hardly been mentioned in the scientific literature until the 1990s. Glia cells were thought to be support elements to function structurally as neurons. The focus of this study was on the recently reported studies of astrocytes in a subunit of glias, in which the astrocytes are highly in contact with the neurons with their star-like images and the structure surrounding the synaptic space. When astrocytes were stimulated with an external stimulus, instead of action potential, it was found to have a calcium response by producing a neurological information transmission study. Studies on the different aspects of the partner of these newly recognized neurons in the central nervous system are much needed. Simulation studies using computational models are a suitable approach because of technical difficulties of the laboratory investigation of neurological systems in the processing of astrocyte functions. Although it is completely impossible to create a complete mathematical model of the brain, it is quite valuable to support these studies with different structures. In this thesis study, the effects of the parameters controlling the astrocyte were first investigated in order to show the effects of astrocytes on information processing in neuronal systems. Then, the information processing performance of Hodgkin-Huxley neuron with astrocyte was investigated. For this purpose, the H-H neuron is stimulated by a weak signal, which is supposed to carry information, and its response to the noise level in the system is investigated. While this study was performed with and without astrocyte, the effects of astrocytes on information processing performance of neurons were found to be comparative. It has been found that the information processing performance of the neuron shows stochastic resonance effect depending on the noise density. Here, it has been observed that the neuron with astrocyte has significantly increased the information processing performance of the neuron compared to the neuron without astrocytes, in a suitable astrocyte-neuron coupling strength. The results also demonstrate the presence of an optimal weak signal frequency which provides the best detection performance. Finally, calcium and ion channel noise is included in the model. The results also show that the coupling strength that provides optimal information processing caused by the ion channels in astrocytes and ions such as sodium, potassium in the neuron are critically dependent on N-scaled calcium channel noise density. 113
- Published
- 2019
20. Periyodik kuplajın ölçeksiz ağlarda zamansal düzenliliğe etkileri
- Author
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Baysal, Veli, Özer, Mahmut, Yılmaz, Ergin, and Elektrik-Elektronik Mühendisliği Ana Bilim Dalı
- Subjects
Engineering Sciences ,Mühendislik Bilimleri - Abstract
Sinir sistemi canlıların en karmaşık yapısını oluşturmaktadır. Bu karmaşık yapının temel taşları nöronlardır. Nöronlar sinir sisteminde belirli fonksiyonları yerine getiren birbirleriyle bağlı nöron toplulukları şeklinde bulunurlar. Sinir sisteminde meydana gelen bilgi işleme ve iletim olaylarını açıklamak için karmaşık ağ modellerinden faydalanılır. Bu bağlamda sinir sistemindeki fonksiyonel grupların ağ topolojilerini modellemede en etkin modellerden biri de ölçeksiz ağ topolojisidir. Yakın zamana kadar sinirbilim alanında bilginin kodlanmasına dair yapılan hesaplamalı çalışmaların pek çoğunda biyolojik bir gerçeklik olan nöronlar arasındaki sinaptik bağlantı şiddetinin değişkenliği hesaba katılmamıştır. Sinir sistemindeki nöronlar farklı fonksiyonel görevleri olan özelleşmiş gruplar halinde bulunur. Bu durum göz önüne alındığında nöronlar arasındaki değişken bağlantı şiddetinin sinir sistemindeki bilgi işleme ve kodlama üzerinde önemli etkilere neden olabilir.Buradan hareketle bu çalışmanın ilk bölümünde Hodgkin-Huxley nöronlarından meydana gelen ölçeksiz bir ağda nöronlar arasındaki periyodik kuplajın nöronları ateşleme örüntüleri üzerindeki etkileri ele alınmıştır. Bu amaçla periyodik kuplaj şiddetinin frekansının ve genliğinin ateşleme düzenliliği üzerindeki etkileri kanal gürültüsüne bağlı olarak ayrı ayrı ele alınmıştır. Daha sonra ağın ortalama bağlantı derecesinin ve ölçeksiz ağdaki toplam nöron sayısının kanal gürültüsüne bağlı olarak ateşleme örüntüleri üzerindeki etkileri ele alınmıştır. Elde edilen sonuçlardan, periyodik kuplajın frekansına bağlı olarak ağın ateşleme düzenliliğinin çoklu koherans rezonans bulgusu sergilediği belirlenmiştir. Ayrıca ağın ateşleme düzenliliğinin periyodik kuplaj şiddetinin genliğine bağlı olarak resonans benzeri davranış sergilediği görülmüştür. elde edilmiştir. İlaveten ağda düzenliliğin maksimum olduğu optimal bir ortalama bağlantı derecesinin varlığı bulunmuştur. Bunlara ek olarak ağdaki toplam nöron sayısının ateşleme düzenliliği üzerindeki etkileri incelenmiş ve toplam nöron sayısının artmasına bağlı olarak ateşleme düzenliliğinin artığı tespit edilmiştir. Tezin ikinci bölümünde ise, nöronlar arasındaki değişken bağlantı şiddetinin bilginin işlenmesi ve kodlanması üzerindeki etkileri incelenmiştir. Bu amaçla periyodik kuplaj şiddetinin frekansının ve genliğinin eşik-altı sinyal kodlamaya etkileri kanal gürültüsüne bağlı olarak ele alınmıştır. Ayrıca buradan elde edilen sonuçlar göz önünde bulundurarak ağın ortalama bağlantı derecesinin ve nöral ağdaki toplam nöron sayısının eşik-altı sinyal işlemeye etkileri araştırılmıştır. Elde edilen sonuçlardan, H-H nöronlarından oluşan ölçeksiz ağda eşik-altı sinyallerin optimal kodlanabilmesi için periyodik kuplaj şiddetinin frekansının ve genliğinin, iyon kanal gürültüsünün şiddetinin ve ağın ortalama bağlantı derecesinin optimal değerlerinde olması gerektiği sonucuna varılmıştır. Nervous system constitutes the most complex structure of the livings. The fundamental unit of this structure is the neuron. Within the nervous system, neurons are in the sub-groups which have different functional roles. To explain information coding and transmission in the nervous system, the complex network topologies is utilized. In this context, one of the most forceful model is the scale-free topologies for modelling of the topologies of these functional groups within the nervous system. Until recently, variability of the coupling strength between neurons do not take into account in most of the computational work done in the field of neuroscience, concerning the coding of information. Neurons in the nervous system exist as specialized groups that have different functional roles. When this fact is considered, time-varying coupling strength among neurons may have important effects on the information processing and the encoding in nervous system. Based on this fact, in the first section of the current study, the effects of time-periodic coupling strength on the firing regularity of a scale-free network (SF), consisting of stochastic Hodgkin-Huxley neurons, have been investigated. For this purpose, the effects of both the frequency and the amplitude of periodic coupling strength on the firing regularity have been handled depending on ion channel noise, separately. Then the effects of average degree of the network and the total number of neurons on the firing regularity have been handled, depending on ion channel noise.It is determined that the firing regularity of the network exhibits the multiple coherence resonance phenomenon with respect to the frequency of time-periodic coupling strength. Besides, it is shown that the firing regularity of the network displays resonance-like behavior depending on the amplitude of time-periodic coupling strength. Additionally, we found the existence of an optimal average degree ensuring the maximal firing regularity in the network. Moreover, the effects of total number of neuron in the network on the firing regularity have been investigated and it is found that firing regularity have increased with growing network.In the second section of the thesis, the effects of coupling strength, changing in time, among neurons on information processing and encoding have been investigated. For this purpose, the effects of both the frequency and the amplitude of periodic coupling strength on sub-threshold signal processing and encoding have been handled depending on ion channel noise, separately. Besides, by considering the obtained results, the effects of average degree and number of neurons on sub-threshold signal processing have been investigated. As a result, it is concluded that amplitude and frequency of periodic coupling strength, ion channel noise strength and average connectivity degree of the network must have their optimal values for better encoding of the sub-threshold signals in a scale-free neural network. 78
- Published
- 2014
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