42 results on '"Stemmler Martin"'
Search Results
2. A physiologically inspired model for global remapping in the hippocampus
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Stemmler Martin, Mathis Alexander, Kammerer Axel, Herz Andreas, and Leibold Christian
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurophysiology and neuropsychology ,QP351-495 - Published
- 2011
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3. How good is grid coding versus place coding for navigation using noisy, spiking neurons?
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Stemmler Martin, Mathis Alexander, and Herz Andreas
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Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurophysiology and neuropsychology ,QP351-495 - Published
- 2010
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4. A Uniform and Isotropic Cytoskeletal Tiling Fills Dendritic Spines.
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Eberhardt, Florian, Bushong, Eric, Phan, Sébastien, Peltier, Steven, Monteagudo-Mesas, Pablo, Weinkauf, Tino, Herz, Andreas, Stemmler, Martin, and Ellisman, Mark
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EM tomography ,actin cytoskeleton ,cerebellar Purkinje cell ,dendritic spines in situ ,hippocampal pyramidal cell ,image segmentation ,Animals ,Male ,Mice ,Dendritic Spines ,Actins ,Cytoskeleton ,Hippocampus ,Neurons - Abstract
Dendritic spines are submicron, subcellular compartments whose shape is defined by actin filaments and associated proteins. Accurately mapping the cytoskeleton is a challenge, given the small size of its components. It remains unclear whether the actin-associated structures analyzed in dendritic spines of neurons in vitro apply to dendritic spines of intact, mature neurons in situ. Here, we combined advanced preparative methods with multitilt serial section electron microscopy (EM) tomography and computational analysis to reveal the full three-dimensional (3D) internal architecture of spines in the intact brains of male mice at nanometer resolution. We compared hippocampal (CA1) pyramidal cells and cerebellar Purkinje cells in terms of the length distribution and connectivity of filaments, their branching-angles and absolute orientations, and the elementary loops formed by the network. Despite differences in shape and size across spines and between spine heads and necks, the internal organization was remarkably similar in both neuron types and largely homogeneous throughout the spine volume. In the tortuous mesh of highly branched and interconnected filaments, branches exhibited no preferred orientation except in the immediate vicinity of the cell membrane. We found that new filaments preferentially split off from the convex side of a bending filament, consistent with the behavior of Arp2/3-mediated branching of actin under mechanical deformation. Based on the quantitative analysis, the spine cytoskeleton is likely subject to considerable mechanical force in situ.
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- 2022
5. Probable nature of higher-dimensional symmetries underlying mammalian grid-cell activity patterns
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Mathis, Alexander, Stemmler, Martin B., and Herz, Andreas V. M.
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Quantitative Biology - Neurons and Cognition - Abstract
Lattices abound in nature - from the crystal structure of minerals to the honey-comb organization of ommatidia in the compound eye of insects. Such regular arrangements provide solutions for optimally dense packings, efficient resource distribution and cryptographic schemes, highlighting the importance of lattice theory in mathematics and physics, biology and economics, and computer science and coding theory. Do lattices also play a role in how the brain represents information? To answer this question, we focus on higher-dimensional stimulus domains, with particular emphasis on neural representations of the physical space explored by an animal. Using information theory, we ask how to optimize the spatial resolution of neuronal lattice codes. We show that the hexagonal activity patterns of grid cells found in the hippocampal formation of mammals navigating on a flat surface lead to the highest spatial resolution in a two-dimensional world. For species that move freely in a three-dimensional environment, the firing fields should be arranged along a face-centered cubic (FCC) lattice or a equally dense non-lattice variant thereof known as a hexagonal close packing (HCP). This quantitative prediction could be tested experimentally in flying bats, arboreal monkeys, or cetaceans. More generally, our theoretical results suggest that the brain encodes higher-dimensional sensory or cognitive variables with populations of grid-cell-like neurons whose activity patterns exhibit lattice structures at multiple, nested scales., Comment: 12 pages, 6 figures
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- 2014
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6. Multi-Scale Codes in the Nervous System: The Problem of Noise Correlations and the Ambiguity of Periodic Scales
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Mathis, Alexander, Herz, Andreas V. M., and Stemmler, Martin B.
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Quantitative Biology - Neurons and Cognition - Abstract
Encoding information about continuous variables using noisy computational units is a challenge; nonetheless, asymptotic theory shows that combining multiple periodic scales for coding can be highly precise despite the corrupting influence of noise (Mathis et al., Phys. Rev. Lett. 2012). Indeed, cortex seems to use such stochastic multi-scale periodic `grid codes' to represent position accurately. We show here how these codes can be read out without taking the asymptotic limit; even on short time scales, the precision of neuronal grid codes scales exponentially in the number N of neurons. Does this finding also hold for neurons that are not statistically independent? To assess the extent to which biological grid codes are subject to statistical dependencies, we analyze the noise correlations between pairs of grid code neurons in behaving rodents. We find that if the grids of the two neurons align and have the same length scale, the noise correlations between the neurons can reach 0.8. For increasing mismatches between the grids of the two neurons, the noise correlations fall rapidly. Incorporating such correlations into a population coding model reveals that the correlations lessen the resolution, but the exponential scaling of resolution with N is unaffected., Comment: 11 pages, 9 figures
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- 2013
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7. Grid codes vs. multi-scale, multi-field place codes for space.
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Dietrich, Robin, Waniek, Nicolai, Stemmler, Martin, and Knoll, Alois
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RECURRENT neural networks ,ARTIFICIAL neural networks ,ENTORHINAL cortex ,MULTISCALE modeling ,GRID cells - Abstract
Introduction: Recent work on bats flying over long distances has revealed that single hippocampal cells have multiple place fields of different sizes. At the network level, a multi-scale, multi-field place cell code outperforms classical single-scale, single-field place codes, yet the performance boundaries of such a code remain an open question. In particular, it is unknown how general multi- field codes compare to a highly regular grid code, in which cells form distinct modules with different scales. Methods: In this work, we address the coding properties of theoretical spatial coding models with rigorous analyses of comprehensive simulations. Starting fromamulti-scale,multi-field network, we performed evolutionary optimization. The resulting multi-field networks sometimes retained the multi-scale property at the single-cell level but most often converged to a single scale, with all place fields in a given cell having the same size. We compared the results against a single-scale single-field code and a one-dimensional grid code, focusing on two main characteristics: the performance of the code itself and the dynamics of the network generating it. Results: Our simulation experiments revealed that, under normal conditions, a regular grid code outperforms all other codes with respect to decoding accuracy, achieving a given precision with fewer neurons and fields. In contrast, multi- field codes are more robust against noise and lesions, such as random drop- out of neurons, given that the significantly higher number of fields provides redundancy. Contrary to our expectations, the network dynamics of all models, from the original multi-scale models before optimization to the multi-field models that resulted from optimization, did not maintain activity bumps at their original locations when a position-specific external input was removed. Discussion: Optimizedmulti-field codes appear to strike a compromise between a place code and a grid code that reflects a trade-off between accurate positional encoding and robustness. Surprisingly, the recurrent neural network models we implemented and optimized for either multi- or single-scale, multi-field codes did not intrinsically produce a persistent "memory" of attractor states. These models, therefore, were not continuous attractor networks. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Spatial Cognition: Grid Cells Harbour Three Complementary Positional Codes
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Stemmler, Martin and Herz, Andreas V.M.
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- 2017
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9. Local Postsynaptic Voltage-Gated Sodium Channel Activation in Dendritic Spines of Olfactory Bulb Granule Cells
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Bywalez, Wolfgang G., Patirniche, Dinu, Rupprecht, Vanessa, Stemmler, Martin, Herz, Andreas V.M., Pálfi, Dénes, Rózsa, Balázs, and Egger, Veronica
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- 2015
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10. Grid cells in rat entorhinal cortex encode physical space with independent firing fields and phase precession at the single-trial level
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Reifenstein, Eric T., Kempter, Richard, Schreiber, Susanne, Stemmler, Martin B., and Herz, Andreas V. M.
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- 2012
11. Lateral Interactions in Primary Visual Cortex: A Model Bridging Physiology and Psychophysics
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Stemmler, Martin, Usher, Marius, and Niebur, Ernst
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- 1995
12. Spike Afterpotentials Shape the In Vivo Burst Activity of Principal Cells in Medial Entorhinal Cortex
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Csordás, Dóra É., primary, Fischer, Caroline, additional, Nagele, Johannes, additional, Stemmler, Martin, additional, and Herz, Andreas V.M., additional
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- 2020
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13. Synaptic Information Transmission in a Two-State Model of Short-Term Facilitation
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Salmasi, Mehrdad, primary, Stemmler, Martin, additional, Glasauer, Stefan, additional, and Loebel, Alex, additional
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- 2019
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14. Anticipatory Neural Activity Improves the Decoding Accuracy for Dynamic Head-Direction Signals
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Zirkelbach, Johannes, primary, Stemmler, Martin, additional, and Herz, Andreas V.M., additional
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- 2019
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15. Short-term synaptic depression can increase the rate of information transfer at a release site
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Salmasi, Mehrdad, primary, Loebel, Alex, additional, Glasauer, Stefan, additional, and Stemmler, Martin, additional
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- 2019
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16. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3
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Newton, Adam J. H., primary, Seidenstein, Alexandra H., additional, McDougal, Robert A., additional, Pérez-Cervera, Alberto, additional, Huguet, Gemma, additional, M-Seara, Tere, additional, Haimerl, Caroline, additional, Angulo-Garcia, David, additional, Torcini, Alessandro, additional, Cossart, Rosa, additional, Malvache, Arnaud, additional, Skiker, Kaoutar, additional, Maouene, Mounir, additional, Ragognetti, Gianmarco, additional, Lorusso, Letizia, additional, Viggiano, Andrea, additional, Marcelli, Angelo, additional, Senatore, Rosa, additional, Parziale, Antonio, additional, Stramaglia, S., additional, Pellicoro, M., additional, Angelini, L., additional, Amico, E., additional, Aerts, H., additional, Cortés, J., additional, Laureys, S., additional, Marinazzo, D., additional, Bassez, I., additional, Faes, L., additional, Almgren, Hannes, additional, Razi, Adeel, additional, Van de Steen, Frederik, additional, Krebs, Ruth, additional, Aerts, Hannelore, additional, Kanari, Lida, additional, Dlotko, Pawel, additional, Scolamiero, Martina, additional, Levi, Ran, additional, Shillcock, Julian, additional, de Kock, Christiaan P.J., additional, Hess, Kathryn, additional, Markram, Henry, additional, Ly, Cheng, additional, Marsat, Gary, additional, Gillespie, Tom, additional, Sandström, Malin, additional, Abrams, Mathew, additional, Grethe, Jeffrey S., additional, Martone, Maryann, additional, De Gernier, Robin, additional, Solinas, Sergio, additional, Rössert, Christian, additional, Haelterman, Marc, additional, Massar, Serge, additional, Pasquale, Valentina, additional, Pastore, Vito Paolo, additional, Martinoia, Sergio, additional, Massobrio, Paolo, additional, Capone, Cristiano, additional, Tort-Colet, Núria, additional, Sanchez-Vives, Maria V., additional, Mattia, Maurizio, additional, Almasi, Ali, additional, Cloherty, Shaun L., additional, Grayden, David B., additional, Wong, Yan T., additional, Ibbotson, Michael R., additional, Meffin, Hamish, additional, Prince, Luke Y., additional, Tsaneva-Atanasova, Krasimira, additional, Mellor, Jack R., additional, Mazzoni, Alberto, additional, Rosa, Manuela, additional, Carpaneto, Jacopo, additional, Romito, Luigi M., additional, Priori, Alberto, additional, Micera, Silvestro, additional, Migliore, Rosanna, additional, Lupascu, Carmen Alina, additional, Franchina, Francesco, additional, Bologna, Luca Leonardo, additional, Romani, Armando, additional, Saray, Sára, additional, Van Geit, Werner, additional, Káli, Szabolcs, additional, Thomson, Alex, additional, Mercer, Audrey, additional, Lange, Sigrun, additional, Falck, Joanne, additional, Muller, Eilif, additional, Schürmann, Felix, additional, Todorov, Dmitrii, additional, Capps, Robert, additional, Barnett, William, additional, Molkov, Yaroslav, additional, Devalle, Federico, additional, Pazó, Diego, additional, Montbrió, Ernest, additional, Mochol, Gabriela, additional, Azab, Habiba, additional, Hayden, Benjamin Y., additional, Moreno-Bote, Rubén, additional, Balasubramani, Pragathi Priyadharsini, additional, Chakravarthy, Srinivasa V., additional, Muddapu, Vignayanandam R., additional, Gheorghiu, Medorian D., additional, Mimica, Bartul, additional, Withlock, Jonathan, additional, Mureșan, Raul C., additional, Zick, Jennifer L., additional, Schultz, Kelsey, additional, Blackman, Rachael K., additional, Chafee, Matthew V., additional, Netoff, Theoden I., additional, Roberts, Nicholas, additional, Nagaraj, Vivek, additional, Lamperski, Andrew, additional, Grado, Logan L., additional, Johnson, Matthew D., additional, Darrow, David P., additional, Lonardoni, Davide, additional, Amin, Hayder, additional, Di Marco, Stefano, additional, Maccione, Alessandro, additional, Berdondini, Luca, additional, Nieus, Thierry, additional, Stimberg, Marcel, additional, Goodman, Dan F. M., additional, Nowotny, Thomas, additional, Koren, Veronika, additional, Dragoi, Valentin, additional, Obermayer, Klaus, additional, Castro, Samy, additional, Fernandez, Mariano, additional, El-Deredy, Wael, additional, Xu, Kesheng, additional, Maidana, Jean Paul, additional, Orio, Patricio, additional, Chen, Weiliang, additional, Hepburn, Iain, additional, Casalegno, Francesco, additional, Devresse, Adrien, additional, Ovcharenko, Aleksandr, additional, Pereira, Fernando, additional, Delalondre, Fabien, additional, De Schutter, Erik, additional, Bratby, Peter, additional, Gallimore, Andrew R., additional, Klingbeil, Guido, additional, Zamora, Criseida, additional, Zang, Yunliang, additional, Crotty, Patrick, additional, Palmerduca, Eric, additional, Antonietti, Alberto, additional, Casellato, Claudia, additional, Erö, Csaba, additional, D’Angelo, Egidio, additional, Gewaltig, Marc-Oliver, additional, Pedrocchi, Alessandra, additional, Bytschok, Ilja, additional, Dold, Dominik, additional, Schemmel, Johannes, additional, Meier, Karlheinz, additional, Petrovici, Mihai A., additional, Shen, Hui-An, additional, Surace, Simone Carlo, additional, Pfister, Jean-Pascal, additional, Lefebvre, Baptiste, additional, Marre, Olivier, additional, Yger, Pierre, additional, Papoutsi, Athanasia, additional, Park, Jiyoung, additional, Ash, Ryan, additional, Smirnakis, Stelios, additional, Poirazi, Panayiota, additional, Felix, Richard A., additional, Dimitrov, Alexander G., additional, Portfors, Christine, additional, Daun, Silvia, additional, Toth, Tibor I., additional, Jędrzejewska-Szmek, Joanna, additional, Kabbani, Nadine, additional, Blackwel, Kim T., additional, Moezzi, Bahar, additional, Schaworonkow, Natalie, additional, Plogmacher, Lukas, additional, Goldsworthy, Mitchell R., additional, Hordacre, Brenton, additional, McDonnell, Mark D., additional, Iannella, Nicolangelo, additional, Ridding, Michael C., additional, Triesch, Jochen, additional, Maex, Reinoud, additional, Safaryan, Karen, additional, Steuber, Volker, additional, Tang, Rongxiang, additional, Tang, Yi-Yuan, additional, Verveyko, Darya V., additional, Brazhe, Alexey R., additional, Verisokin, Andrey Yu, additional, Postnov, Dmitry E., additional, Günay, Cengiz, additional, Panuccio, Gabriella, additional, Giugliano, Michele, additional, Prinz, Astrid A., additional, Varona, Pablo, additional, Rabinovich, Mikhail I., additional, Denham, Jack, additional, Ranner, Thomas, additional, Cohen, Netta, additional, Reva, Maria, additional, Rebola, Nelson, additional, Kirizs, Tekla, additional, Nusser, Zoltan, additional, DiGregorio, David, additional, Mavritsaki, Eirini, additional, Rentzelas, Panos, additional, Ukani, Nikul H., additional, Tomkins, Adam, additional, Yeh, Chung-Heng, additional, Bruning, Wesley, additional, Fenichel, Allison L., additional, Zhou, Yiyin, additional, Huang, Yu-Chi, additional, Florescu, Dorian, additional, Ortiz, Carlos Luna, additional, Richmond, Paul, additional, Lo, Chung-Chuan, additional, Coca, Daniel, additional, Chiang, Ann-Shyn, additional, Lazar, Aurel A., additional, Creaser, Jennifer L., additional, Lin, Congping, additional, Ashwin, Peter, additional, Brown, Jonathan T., additional, Ridler, Thomas, additional, Levenstein, Daniel, additional, Watson, Brendon O., additional, Buzsáki, György, additional, Rinzel, John, additional, Curtu, Rodica, additional, Nguyen, Anh, additional, Assadzadeh, Sahand, additional, Robinson, Peter A., additional, Sanz-Leon, Paula, additional, Forlim, Caroline G., additional, de Almeida, Lírio O. B., additional, Pinto, Reynaldo D., additional, Rodríguez, Francisco B., additional, Lareo, Ángel, additional, Forlim, Caroline Garcia, additional, Montero, Aaron, additional, Mosqueiro, Thiago, additional, Huerta, Ramon, additional, Rodriguez, Francisco B., additional, Changoluisa, Vinicio, additional, Cordeiro, Vinícius L., additional, Ceballos, César C., additional, Kamiji, Nilton L., additional, Roque, Antonio C., additional, Lytton, William W., additional, Knox, Andrew, additional, Rosenthal, Joshua J. C., additional, Popovych, Svitlana, additional, Liu, Liqing, additional, Wang, Bin A., additional, Tóth, Tibor I., additional, Grefkes, Christian, additional, Fink, Gereon R., additional, Rosjat, Nils, additional, Perez-Trujillo, Abraham, additional, Espinal, Andres, additional, Sotelo-Figueroa, Marco A., additional, Cruz-Aceves, Ivan, additional, Rostro-Gonzalez, Horacio, additional, Zapotocky, Martin, additional, Hoskovcová, Martina, additional, Kopecká, Jana, additional, Ulmanová, Olga, additional, Růžička, Evžen, additional, Gärtner, Matthias, additional, Duvarci, Sevil, additional, Roeper, Jochen, additional, Schneider, Gaby, additional, Albert, Stefan, additional, Schmack, Katharina, additional, Remme, Michiel, additional, Schreiber, Susanne, additional, Migliore, Michele, additional, Lupascu, Carmen A., additional, Bologna, Luca L., additional, Antonel, Stefano M., additional, Courcol, Jean-Denis, additional, Çelikok, Sami Utku, additional, Navarro-López, Eva M., additional, Şengör, Neslihan Serap, additional, Elibol, Rahmi, additional, Sengor, Neslihan Serap, additional, Özdemir, Mustafa Yasir, additional, Li, Tianyi, additional, Arleo, Angelo, additional, Sheynikhovich, Denis, additional, Nakamura, Akihiro, additional, Shimono, Masanori, additional, Song, Youngjo, additional, Park, Sol, additional, Choi, Ilhwan, additional, Jeong, Jaeseung, additional, Shin, Hee-sup, additional, Sadeh, Sadra, additional, Gleeson, Padraig, additional, Angus Silver, R., additional, Chatzikalymniou, Alexandra Pierri, additional, Skinner, Frances K., additional, Sanchez-Rodriguez, Lazaro M., additional, Sotero, Roberto C., additional, Hertäg, Loreen, additional, Mackwood, Owen, additional, Sprekeler, Henning, additional, Puhlmann, Steffen, additional, Weber, Simon N., additional, Higgins, David, additional, Naumann, Laura B., additional, Iyer, Ramakrisnan, additional, Mihalas, Stefan, additional, Ticcinelli, Valentina, additional, Stankovski, Tomislav, additional, McClintock, Peter V. E., additional, Stefanovska, Aneta, additional, Janjić, Predrag, additional, Solev, Dimitar, additional, Seifert, Gerald, additional, Kocarev, Ljupčo, additional, Steinhäuser, Christian, additional, Salmasi, Mehrdad, additional, Glasauer, Stefan, additional, Stemmler, Martin, additional, Zhang, Danke, additional, Zhang, Chi, additional, Stepanyants, Armen, additional, Goncharenko, Julia, additional, Kros, Lieke, additional, Davey, Neil, additional, de Zeeuw, Chris, additional, Hoebeek, Freek, additional, Sinha, Ankur, additional, Adams, Roderick, additional, Schmuker, Michael, additional, Psarrou, Maria, additional, Schilstra, Maria, additional, Torben-Nielsen, Benjamin, additional, Metzner, Christoph, additional, Schweikard, Achim, additional, Mäki-Marttunen, Tuomo, additional, Zurowski, Bartosz, additional, Marinazzo, Daniele, additional, Faes, Luca, additional, Stramaglia, Sebastiano, additional, Jordan, Henry O. C., additional, Stringer, Simon M., additional, Gajewska-Dendek, Elżbieta, additional, Suffczyński, Piotr, additional, Tam, Nicoladie, additional, Zouridakis, George, additional, Pollonini, Luca, additional, Asl, Mojtaba Madadi, additional, Valizadeh, Alireza, additional, Tass, Peter A., additional, Nold, Andreas, additional, Fan, Wei, additional, Konrad, Sara, additional, Endle, Heiko, additional, Vogt, Johannes, additional, Tchumatchenko, Tatjana, additional, Herpich, Juliane, additional, Tetzlaff, Christian, additional, Luboeinski, Jannik, additional, Nachstedt, Timo, additional, Ciba, Manuel, additional, Bahmer, Andreas, additional, Thielemann, Christiane, additional, Kuebler, Eric S., additional, Tauskela, Joseph S., additional, Thivierge, Jean-Philippe, additional, Bakker, Rembrandt, additional, García-Amado, María, additional, Evangelio, Marian, additional, Clascá, Francisco, additional, Tiesinga, Paul, additional, Buckley, Christopher L., additional, Toyoizumi, Taro, additional, Dubreuil, Alexis M., additional, Monasson, Rémi, additional, Treves, Alessandro, additional, Spalla, Davide, additional, Rosay, Sophie, additional, Kleberg, Florence I., additional, Wong, Willy, additional, de Oliveira Floriano, Bruno, additional, Matsuo, Toshihiko, additional, Uchida, Tetsuya, additional, Dibenedetto, Domenica, additional, Uludağ, Kâmil, additional, Goodarzinick, Abdorreza, additional, Schmidt, Maximilian, additional, Hilgetag, Claus C., additional, Diesmann, Markus, additional, van Albada, Sacha J., additional, Fauth, Michael, additional, van Rossum, Mark, additional, Reyes-Sánchez, Manuel, additional, Amaducci, Rodrigo, additional, Muñiz, Carlos, additional, Elices, Irene, additional, Arroyo, David, additional, Levi, Rafael, additional, Cohen, Ben, additional, Chow, Carson, additional, Vattikuti, Shashaank, additional, Bertolotti, Elena, additional, Burioni, Raffaella, additional, di Volo, Matteo, additional, Vezzani, Alessandro, additional, Menzat, Bayar, additional, Vogels, Tim P., additional, Wagatsuma, Nobuhiko, additional, Saha, Susmita, additional, Kapoor, Reena, additional, Kerr, Robert, additional, Wagner, John, additional, del Molino, Luis C. Garcia, additional, Yang, Guangyu Robert, additional, Mejias, Jorge F., additional, Wang, Xiao-Jing, additional, Song, Hanbing, additional, Goodliffe, Joseph, additional, Luebke, Jennifer, additional, Weaver, Christina M., additional, Thomas, John, additional, Sinha, Nishant, additional, Shaju, Nikhita, additional, Maszczyk, Tomasz, additional, Jin, Jing, additional, Cash, Sydney S., additional, Dauwels, Justin, additional, Brandon Westover, M., additional, Karimian, Maryam, additional, Moerel, Michelle, additional, De Weerd, Peter, additional, Burwick, Thomas, additional, Westra, Ronald L., additional, Abeysuriya, Romesh, additional, Hadida, Jonathan, additional, Sotiropoulos, Stamatios, additional, Jbabdi, Saad, additional, Woolrich, Mark, additional, Bensmail, Chama, additional, Wrobel, Borys, additional, Zhou, Xiaolong, additional, Ji, Zilong, additional, Liu, Xiao, additional, Xia, Yan, additional, Wu, Si, additional, Wang, Xiao, additional, Zhang, Mingsha, additional, Ofer, Netanel, additional, Shefi, Orit, additional, Yaari, Gur, additional, Carnevale, Ted, additional, Majumdar, Amit, additional, Sivagnanam, Subhashini, additional, Yoshimoto, Kenneth, additional, Smirnova, Elena Y., additional, Amakhin, Dmitry V., additional, Malkin, Sergey L., additional, Zaitsev, Aleksey V., additional, Chizhov, Anton V., additional, Zaleshina, Margarita, additional, Zaleshin, Alexander, additional, Barranca, Victor J., additional, Zhu, George, additional, Skilling, Quinton M., additional, Maruyama, Daniel, additional, Ognjanovski, Nicolette, additional, Aton, Sara J., additional, Zochowski, Michal, additional, Wu, Jiaxing, additional, Aton, Sara, additional, Rich, Scott, additional, Booth, Victoria, additional, Budak, Maral, additional, Dura-Bernal, Salvador, additional, Neymotin, Samuel A., additional, Suter, Benjamin A., additional, Shepherd, Gordon M. G., additional, Felton, Melvin A., additional, Yu, Alfred B., additional, Boothe, David L., additional, Oie, Kelvin S., additional, Franaszczuk, Piotr J., additional, Shuvaev, Sergey A., additional, Başerdem, Batuhan, additional, Zador, Anthony, additional, Koulakov, Alexei A., additional, López-Madrona, Víctor J., additional, Pereda, Ernesto, additional, Mirasso, Claudio R., additional, Canals, Santiago, additional, Masoli, Stefano, additional, Rongala, Udaya B., additional, Spanne, Anton, additional, Jorntell, Henrik, additional, Oddo, Calogero M., additional, Vartanov, Alexander V., additional, Neklyudova, Anastasia K., additional, Kozlovskiy, Stanislav A., additional, Kiselnikov, Andrey A., additional, Marakshina, Julia A., additional, Teleńczuk, Maria, additional, Teleńczuk, Bartosz, additional, Destexhe, Alain, additional, Kuokkanen, Paula T., additional, Kraemer, Anna, additional, McColgan, Thomas, additional, Carr, Catherine E., additional, and Kempter, Richard, additional
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- 2017
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17. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017
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Newton, Adam J H, Seidenstein, Alexandra H, McDougal, Robert A, Cervera, Alberto, Huguet, Gemma, Seara, Tere, Haimerl, Caroline, Garcia, David, Torcini, Alessandro, Cossart, Rosa, Malvache, Arnaud, Skiker, Kaoutar, Maouene, Mounir, Ragognetti, Gianmarco, Lorusso, Letizia, Viggiano, Andrea, Marcelli, Angelo, Senatore, Rosa, Parziale, Antonio, Stramaglia, S., Pellicoro, M., Angelini, L., Amico, E., Aerts, H., Cortés, J., Laureys, S., Marinazzo, D., Bassez, I., Faes, L., Almgren, Hannes, Razi, Adeel, Steen, Frederik, Krebs, Ruth, Aerts, Hannelore, Kanari, Lida, Dlotko, Pawel, Scolamiero, Martina, Levi, Ran, Shillcock, Julian, Kock, Christiaan P, Hess, Kathryn, Markram, Henry, Ly, Cheng, Marsat, Gary, Gillespie, Tom, Sandström, Malin, Abrams, Mathew, Grethe, Jeffrey S, Martone, Maryann, Gernier, Robin, Solinas, Sergio, Rössert, Christian, Haelterman, Marc, Massar, Serge, Pasquale, Valentina, Pastore, Vito P, Martinoia, Sergio, Massobrio, Paolo, Capone, Cristiano, Colet, Núria, Vives, Maria V, Mattia, Maurizio, Almasi, Ali, Cloherty, Shaun L, Grayden, David B, Wong, Yan T, Ibbotson, Michael R, Meffin, Hamish, Prince, Luke Y, Atanasova, Krasimira, Mellor, Jack R, Mazzoni, Alberto, Rosa, Manuela, Carpaneto, Jacopo, Romito, Luigi M, Priori, Alberto, Micera, Silvestro, Migliore, Rosanna, Lupascu, Carmen A, Franchina, Francesco, Bologna, Luca L, Romani, Armando, Saray, Sára, Geit, Werner, Káli, Szabolcs, Thomson, Alex, Mercer, Audrey, Lange, Sigrun, Falck, Joanne, Muller, Eilif, Schürmann, Felix, Todorov, Dmitrii, Capps, Robert, Barnett, William, Molkov, Yaroslav, Devalle, Federico, Pazó, Diego, Montbrió, Ernest, Mochol, Gabriela, Azab, Habiba, Hayden, Benjamin Y, Bote, Rubén, Balasubramani, Pragathi P, Chakravarthy, Srinivasa V, Muddapu, Vignayanandam R, Gheorghiu, Medorian D, Mimica, Bartul, Withlock, Jonathan, Mureșan, Raul C, Zick, Jennifer L, Schultz, Kelsey, Blackman, Rachael K, Chafee, Matthew V, Netoff, Theoden I, Roberts, Nicholas, Nagaraj, Vivek, Lamperski, Andrew, Grado, Logan L, Johnson, Matthew D, Darrow, David P, Lonardoni, Davide, Amin, Hayder, Marco, Stefano, Maccione, Alessandro, Berdondini, Luca, Nieus, Thierry, Stimberg, Marcel, Goodman, Dan F M, Nowotny, Thomas, Koren, Veronika, Dragoi, Valentin, Obermayer, Klaus, Castro, Samy, Fernandez, Mariano, Deredy, Wael, Xu, Kesheng, Maidana, Jean P, Orio, Patricio, Chen, Weiliang, Hepburn, Iain, Casalegno, Francesco, Devresse, Adrien, Ovcharenko, Aleksandr, Pereira, Fernando, Delalondre, Fabien, Schutter, Erik, Bratby, Peter, Gallimore, Andrew R, Klingbeil, Guido, Zamora, Criseida, Zang, Yunliang, Crotty, Patrick, Palmerduca, Eric, Antonietti, Alberto, Casellato, Claudia, Erö, Csaba, Angelo, Egidio, Gewaltig, Marc-Oliver, Pedrocchi, Alessandra, Bytschok, Ilja, Dold, Dominik, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A, Shen, Hui-An, Surace, Simone C, Pfister, Jean-Pascal, Lefebvre, Baptiste, Marre, Olivier, Yger, Pierre, Papoutsi, Athanasia, Park, Jiyoung, Ash, Ryan, Smirnakis, Stelios, Poirazi, Panayiota, Felix, Richard A, Dimitrov, Alexander G, Portfors, Christine, Daun, Silvia, Toth, Tibor I, Szmek, Joanna, Kabbani, Nadine, Blackwel, Kim T, Moezzi, Bahar, Schaworonkow, Natalie, Plogmacher, Lukas, Goldsworthy, Mitchell R, Hordacre, Brenton, McDonnell, Mark D, Iannella, Nicolangelo, Ridding, Michael C, Triesch, Jochen, Maex, Reinoud, Safaryan, Karen, Steuber, Volker, Tang, Rongxiang, Tang, Yi-Yuan, Verveyko, Darya V, Brazhe, Alexey R, Verisokin, Andrey Y, Postnov, Dmitry E, Günay, Cengiz, Panuccio, Gabriella, Giugliano, Michele, Prinz, Astrid A, Varona, Pablo, Rabinovich, Mikhail I, Denham, Jack, Ranner, Thomas, Cohen, Netta, Reva, Maria, Rebola, Nelson, Kirizs, Tekla, Nusser, Zoltan, DiGregorio, David, Mavritsaki, Eirini, Rentzelas, Panos, Ukani, Nikul H, Tomkins, Adam, Yeh, Chung-Heng, Bruning, Wesley, Fenichel, Allison L, Zhou, Yiyin, Huang, Yu-Chi, Florescu, Dorian, Ortiz, Carlos L, Richmond, Paul, Lo, Chung-Chuan, Coca, Daniel, Chiang, Ann-Shyn, Lazar, Aurel A, Creaser, Jennifer L, Lin, Congping, Ashwin, Peter, Brown, Jonathan T, Ridler, Thomas, Levenstein, Daniel, Watson, Brendon O, Buzsáki, György, Rinzel, John, Curtu, Rodica, Nguyen, Anh, Assadzadeh, Sahand, Robinson, Peter A, Leon, Paula, Forlim, Caroline G, Almeida, Lírio O B, Pinto, Reynaldo D, Rodríguez, Francisco B, Lareo, Ángel, Montero, Aaron, Mosqueiro, Thiago, Huerta, Ramon, Rodriguez, Francisco B, Changoluisa, Vinicio, Cordeiro, Vinícius L, Ceballos, César C, Kamiji, Nilton L, Roque, Antonio C, Lytton, William W, Knox, Andrew, Rosenthal, Joshua J C, Popovych, Svitlana, Liu, Liqing, Wang, Bin A, Tóth, Tibor I, Grefkes, Christian, Fink, Gereon R, Rosjat, Nils, Trujillo, Abraham, Espinal, Andres, Figueroa, Marco A, Aceves, Ivan, Gonzalez, Horacio, Zapotocky, Martin, Hoskovcová, Martina, Kopecká, Jana, Ulmanová, Olga, Růžička, Evžen, Gärtner, Matthias, Duvarci, Sevil, Roeper, Jochen, Schneider, Gaby, Albert, Stefan, Schmack, Katharina, Remme, Michiel, Schreiber, Susanne, Migliore, Michele, Antonel, Stefano M, Courcol, Jean-Denis, Çelikok, Sami U, López, Eva M, Şengör, Neslihan S, Elibol, Rahmi, Sengor, Neslihan S, Özdemir, Mustafa Y, Li, Tianyi, Arleo, Angelo, Sheynikhovich, Denis, Nakamura, Akihiro, Shimono, Masanori, Song, Youngjo, Park, Sol, Choi, Ilhwan, Jeong, Jaeseung, Shin, Hee-sup, Sadeh, Sadra, Gleeson, Padraig, Silver, R., Chatzikalymniou, Alexandra P, Skinner, Frances K, Rodriguez, Lazaro M, Sotero, Roberto C, Hertäg, Loreen, Mackwood, Owen, Sprekeler, Henning, Puhlmann, Steffen, Weber, Simon N, Higgins, David, Naumann, Laura B, Iyer, Ramakrisnan, Mihalas, Stefan, Ticcinelli, Valentina, Stankovski, Tomislav, McClintock, Peter V E, Stefanovska, Aneta, Janjić, Predrag, Solev, Dimitar, Seifert, Gerald, Kocarev, Ljupčo, Steinhäuser, Christian, Salmasi, Mehrdad, Glasauer, Stefan, Stemmler, Martin, Zhang, Danke, Zhang, Chi, Stepanyants, Armen, Goncharenko, Julia, Kros, Lieke, Davey, Neil, Zeeuw, Chris, Hoebeek, Freek, Sinha, Ankur, Adams, Roderick, Schmuker, Michael, Psarrou, Maria, Schilstra, Maria, Nielsen, Benjamin, Metzner, Christoph, Schweikard, Achim, Marttunen, Tuomo, Zurowski, Bartosz, Marinazzo, Daniele, Faes, Luca, Stramaglia, Sebastiano, Jordan, Henry O C, Stringer, Simon M, Dendek, Elżbieta, Suffczyński, Piotr, Tam, Nicoladie, Zouridakis, George, Pollonini, Luca, Asl, Mojtaba M, Valizadeh, Alireza, Tass, Peter A, Nold, Andreas, Fan, Wei, Konrad, Sara, Endle, Heiko, Vogt, Johannes, Tchumatchenko, Tatjana, Herpich, Juliane, Tetzlaff, Christian, Luboeinski, Jannik, Nachstedt, Timo, Ciba, Manuel, Bahmer, Andreas, Thielemann, Christiane, Kuebler, Eric S, Tauskela, Joseph S, Thivierge, Jean-Philippe, Bakker, Rembrandt, Amado, María, Evangelio, Marian, Clascá, Francisco, Tiesinga, Paul, Buckley, Christopher L, Toyoizumi, Taro, Dubreuil, Alexis M, Monasson, Rémi, Treves, Alessandro, Spalla, Davide, Rosay, Sophie, Kleberg, Florence I, Wong, Willy, Floriano, Bruno, Matsuo, Toshihiko, Uchida, Tetsuya, Dibenedetto, Domenica, Uludağ, Kâmil, Goodarzinick, Abdorreza, Schmidt, Maximilian, Hilgetag, Claus C, Diesmann, Markus, Albada, Sacha J, Fauth, Michael, Rossum, Mark, Sánchez, Manuel, Amaducci, Rodrigo, Muñiz, Carlos, Elices, Irene, Arroyo, David, Levi, Rafael, Cohen, Ben, Chow, Carson, Vattikuti, Shashaank, Bertolotti, Elena, Burioni, Raffaella, Volo, Matteo, Vezzani, Alessandro, Menzat, Bayar, Vogels, Tim P, Wagatsuma, Nobuhiko, Saha, Susmita, Kapoor, Reena, Kerr, Robert, Wagner, John, Molino, Luis C G, Yang, Guangyu R, Mejias, Jorge F, Wang, Xiao-Jing, Song, Hanbing, Goodliffe, Joseph, Luebke, Jennifer, Weaver, Christina M, Thomas, John, Sinha, Nishant, Shaju, Nikhita, Maszczyk, Tomasz, Jin, Jing, Cash, Sydney S, Dauwels, Justin, Westover, M., Karimian, Maryam, Moerel, Michelle, Weerd, Peter, Burwick, Thomas, Westra, Ronald L, Abeysuriya, Romesh, Hadida, Jonathan, Sotiropoulos, Stamatios, Jbabdi, Saad, Woolrich, Mark, Bensmail, Chama, Wrobel, Borys, Zhou, Xiaolong, Ji, Zilong, Liu, Xiao, Xia, Yan, Wu, Si, Wang, Xiao, Zhang, Mingsha, Ofer, Netanel, Shefi, Orit, Yaari, Gur, Carnevale, Ted, Majumdar, Amit, Sivagnanam, Subhashini, Yoshimoto, Kenneth, Smirnova, Elena Y, Amakhin, Dmitry V, Malkin, Sergey L, Zaitsev, Aleksey V, Chizhov, Anton V, Zaleshina, Margarita, Zaleshin, Alexander, Barranca, Victor J, Zhu, George, Skilling, Quinton M, Maruyama, Daniel, Ognjanovski, Nicolette, Aton, Sara J, Zochowski, Michal, Wu, Jiaxing, Aton, Sara, Rich, Scott, Booth, Victoria, Budak, Maral, Bernal, Salvador, Neymotin, Samuel A, Suter, Benjamin A, Shepherd, Gordon M G, Felton, Melvin A, Yu, Alfred B, Boothe, David L, Oie, Kelvin S, Franaszczuk, Piotr J, Shuvaev, Sergey A, Başerdem, Batuhan, Zador, Anthony, Koulakov, Alexei A, Madrona, Víctor J, Pereda, Ernesto, Mirasso, Claudio R, Canals, Santiago, Masoli, Stefano, Rongala, Udaya B, Spanne, Anton, Jorntell, Henrik, Oddo, Calogero M, Vartanov, Alexander V, Neklyudova, Anastasia K, Kozlovskiy, Stanislav A, Kiselnikov, Andrey A, Marakshina, Julia A, Teleńczuk, Maria, Teleńczuk, Bartosz, Destexhe, Alain, Kuokkanen, Paula T, Kraemer, Anna, McColgan, Thomas, Carr, Catherine E, Kempter, Richard, Newton, Adam J H, Seidenstein, Alexandra H, McDougal, Robert A, Cervera, Alberto, Huguet, Gemma, Seara, Tere, Haimerl, Caroline, Garcia, David, Torcini, Alessandro, Cossart, Rosa, Malvache, Arnaud, Skiker, Kaoutar, Maouene, Mounir, Ragognetti, Gianmarco, Lorusso, Letizia, Viggiano, Andrea, Marcelli, Angelo, Senatore, Rosa, Parziale, Antonio, Stramaglia, S., Pellicoro, M., Angelini, L., Amico, E., Aerts, H., Cortés, J., Laureys, S., Marinazzo, D., Bassez, I., Faes, L., Almgren, Hannes, Razi, Adeel, Steen, Frederik, Krebs, Ruth, Aerts, Hannelore, Kanari, Lida, Dlotko, Pawel, Scolamiero, Martina, Levi, Ran, Shillcock, Julian, Kock, Christiaan P, Hess, Kathryn, Markram, Henry, Ly, Cheng, Marsat, Gary, Gillespie, Tom, Sandström, Malin, Abrams, Mathew, Grethe, Jeffrey S, Martone, Maryann, Gernier, Robin, Solinas, Sergio, Rössert, Christian, Haelterman, Marc, Massar, Serge, Pasquale, Valentina, Pastore, Vito P, Martinoia, Sergio, Massobrio, Paolo, Capone, Cristiano, Colet, Núria, Vives, Maria V, Mattia, Maurizio, Almasi, Ali, Cloherty, Shaun L, Grayden, David B, Wong, Yan T, Ibbotson, Michael R, Meffin, Hamish, Prince, Luke Y, Atanasova, Krasimira, Mellor, Jack R, Mazzoni, Alberto, Rosa, Manuela, Carpaneto, Jacopo, Romito, Luigi M, Priori, Alberto, Micera, Silvestro, Migliore, Rosanna, Lupascu, Carmen A, Franchina, Francesco, Bologna, Luca L, Romani, Armando, Saray, Sára, Geit, Werner, Káli, Szabolcs, Thomson, Alex, Mercer, Audrey, Lange, Sigrun, Falck, Joanne, Muller, Eilif, Schürmann, Felix, Todorov, Dmitrii, Capps, Robert, Barnett, William, Molkov, Yaroslav, Devalle, Federico, Pazó, Diego, Montbrió, Ernest, Mochol, Gabriela, Azab, Habiba, Hayden, Benjamin Y, Bote, Rubén, Balasubramani, Pragathi P, Chakravarthy, Srinivasa V, Muddapu, Vignayanandam R, Gheorghiu, Medorian D, Mimica, Bartul, Withlock, Jonathan, Mureșan, Raul C, Zick, Jennifer L, Schultz, Kelsey, Blackman, Rachael K, Chafee, Matthew V, Netoff, Theoden I, Roberts, Nicholas, Nagaraj, Vivek, Lamperski, Andrew, Grado, Logan L, Johnson, Matthew D, Darrow, David P, Lonardoni, Davide, Amin, Hayder, Marco, Stefano, Maccione, Alessandro, Berdondini, Luca, Nieus, Thierry, Stimberg, Marcel, Goodman, Dan F M, Nowotny, Thomas, Koren, Veronika, Dragoi, Valentin, Obermayer, Klaus, Castro, Samy, Fernandez, Mariano, Deredy, Wael, Xu, Kesheng, Maidana, Jean P, Orio, Patricio, Chen, Weiliang, Hepburn, Iain, Casalegno, Francesco, Devresse, Adrien, Ovcharenko, Aleksandr, Pereira, Fernando, Delalondre, Fabien, Schutter, Erik, Bratby, Peter, Gallimore, Andrew R, Klingbeil, Guido, Zamora, Criseida, Zang, Yunliang, Crotty, Patrick, Palmerduca, Eric, Antonietti, Alberto, Casellato, Claudia, Erö, Csaba, Angelo, Egidio, Gewaltig, Marc-Oliver, Pedrocchi, Alessandra, Bytschok, Ilja, Dold, Dominik, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A, Shen, Hui-An, Surace, Simone C, Pfister, Jean-Pascal, Lefebvre, Baptiste, Marre, Olivier, Yger, Pierre, Papoutsi, Athanasia, Park, Jiyoung, Ash, Ryan, Smirnakis, Stelios, Poirazi, Panayiota, Felix, Richard A, Dimitrov, Alexander G, Portfors, Christine, Daun, Silvia, Toth, Tibor I, Szmek, Joanna, Kabbani, Nadine, Blackwel, Kim T, Moezzi, Bahar, Schaworonkow, Natalie, Plogmacher, Lukas, Goldsworthy, Mitchell R, Hordacre, Brenton, McDonnell, Mark D, Iannella, Nicolangelo, Ridding, Michael C, Triesch, Jochen, Maex, Reinoud, Safaryan, Karen, Steuber, Volker, Tang, Rongxiang, Tang, Yi-Yuan, Verveyko, Darya V, Brazhe, Alexey R, Verisokin, Andrey Y, Postnov, Dmitry E, Günay, Cengiz, Panuccio, Gabriella, Giugliano, Michele, Prinz, Astrid A, Varona, Pablo, Rabinovich, Mikhail I, Denham, Jack, Ranner, Thomas, Cohen, Netta, Reva, Maria, Rebola, Nelson, Kirizs, Tekla, Nusser, Zoltan, DiGregorio, David, Mavritsaki, Eirini, Rentzelas, Panos, Ukani, Nikul H, Tomkins, Adam, Yeh, Chung-Heng, Bruning, Wesley, Fenichel, Allison L, Zhou, Yiyin, Huang, Yu-Chi, Florescu, Dorian, Ortiz, Carlos L, Richmond, Paul, Lo, Chung-Chuan, Coca, Daniel, Chiang, Ann-Shyn, Lazar, Aurel A, Creaser, Jennifer L, Lin, Congping, Ashwin, Peter, Brown, Jonathan T, Ridler, Thomas, Levenstein, Daniel, Watson, Brendon O, Buzsáki, György, Rinzel, John, Curtu, Rodica, Nguyen, Anh, Assadzadeh, Sahand, Robinson, Peter A, Leon, Paula, Forlim, Caroline G, Almeida, Lírio O B, Pinto, Reynaldo D, Rodríguez, Francisco B, Lareo, Ángel, Montero, Aaron, Mosqueiro, Thiago, Huerta, Ramon, Rodriguez, Francisco B, Changoluisa, Vinicio, Cordeiro, Vinícius L, Ceballos, César C, Kamiji, Nilton L, Roque, Antonio C, Lytton, William W, Knox, Andrew, Rosenthal, Joshua J C, Popovych, Svitlana, Liu, Liqing, Wang, Bin A, Tóth, Tibor I, Grefkes, Christian, Fink, Gereon R, Rosjat, Nils, Trujillo, Abraham, Espinal, Andres, Figueroa, Marco A, Aceves, Ivan, Gonzalez, Horacio, Zapotocky, Martin, Hoskovcová, Martina, Kopecká, Jana, Ulmanová, Olga, Růžička, Evžen, Gärtner, Matthias, Duvarci, Sevil, Roeper, Jochen, Schneider, Gaby, Albert, Stefan, Schmack, Katharina, Remme, Michiel, Schreiber, Susanne, Migliore, Michele, Antonel, Stefano M, Courcol, Jean-Denis, Çelikok, Sami U, López, Eva M, Şengör, Neslihan S, Elibol, Rahmi, Sengor, Neslihan S, Özdemir, Mustafa Y, Li, Tianyi, Arleo, Angelo, Sheynikhovich, Denis, Nakamura, Akihiro, Shimono, Masanori, Song, Youngjo, Park, Sol, Choi, Ilhwan, Jeong, Jaeseung, Shin, Hee-sup, Sadeh, Sadra, Gleeson, Padraig, Silver, R., Chatzikalymniou, Alexandra P, Skinner, Frances K, Rodriguez, Lazaro M, Sotero, Roberto C, Hertäg, Loreen, Mackwood, Owen, Sprekeler, Henning, Puhlmann, Steffen, Weber, Simon N, Higgins, David, Naumann, Laura B, Iyer, Ramakrisnan, Mihalas, Stefan, Ticcinelli, Valentina, Stankovski, Tomislav, McClintock, Peter V E, Stefanovska, Aneta, Janjić, Predrag, Solev, Dimitar, Seifert, Gerald, Kocarev, Ljupčo, Steinhäuser, Christian, Salmasi, Mehrdad, Glasauer, Stefan, Stemmler, Martin, Zhang, Danke, Zhang, Chi, Stepanyants, Armen, Goncharenko, Julia, Kros, Lieke, Davey, Neil, Zeeuw, Chris, Hoebeek, Freek, Sinha, Ankur, Adams, Roderick, Schmuker, Michael, Psarrou, Maria, Schilstra, Maria, Nielsen, Benjamin, Metzner, Christoph, Schweikard, Achim, Marttunen, Tuomo, Zurowski, Bartosz, Marinazzo, Daniele, Faes, Luca, Stramaglia, Sebastiano, Jordan, Henry O C, Stringer, Simon M, Dendek, Elżbieta, Suffczyński, Piotr, Tam, Nicoladie, Zouridakis, George, Pollonini, Luca, Asl, Mojtaba M, Valizadeh, Alireza, Tass, Peter A, Nold, Andreas, Fan, Wei, Konrad, Sara, Endle, Heiko, Vogt, Johannes, Tchumatchenko, Tatjana, Herpich, Juliane, Tetzlaff, Christian, Luboeinski, Jannik, Nachstedt, Timo, Ciba, Manuel, Bahmer, Andreas, Thielemann, Christiane, Kuebler, Eric S, Tauskela, Joseph S, Thivierge, Jean-Philippe, Bakker, Rembrandt, Amado, María, Evangelio, Marian, Clascá, Francisco, Tiesinga, Paul, Buckley, Christopher L, Toyoizumi, Taro, Dubreuil, Alexis M, Monasson, Rémi, Treves, Alessandro, Spalla, Davide, Rosay, Sophie, Kleberg, Florence I, Wong, Willy, Floriano, Bruno, Matsuo, Toshihiko, Uchida, Tetsuya, Dibenedetto, Domenica, Uludağ, Kâmil, Goodarzinick, Abdorreza, Schmidt, Maximilian, Hilgetag, Claus C, Diesmann, Markus, Albada, Sacha J, Fauth, Michael, Rossum, Mark, Sánchez, Manuel, Amaducci, Rodrigo, Muñiz, Carlos, Elices, Irene, Arroyo, David, Levi, Rafael, Cohen, Ben, Chow, Carson, Vattikuti, Shashaank, Bertolotti, Elena, Burioni, Raffaella, Volo, Matteo, Vezzani, Alessandro, Menzat, Bayar, Vogels, Tim P, Wagatsuma, Nobuhiko, Saha, Susmita, Kapoor, Reena, Kerr, Robert, Wagner, John, Molino, Luis C G, Yang, Guangyu R, Mejias, Jorge F, Wang, Xiao-Jing, Song, Hanbing, Goodliffe, Joseph, Luebke, Jennifer, Weaver, Christina M, Thomas, John, Sinha, Nishant, Shaju, Nikhita, Maszczyk, Tomasz, Jin, Jing, Cash, Sydney S, Dauwels, Justin, Westover, M., Karimian, Maryam, Moerel, Michelle, Weerd, Peter, Burwick, Thomas, Westra, Ronald L, Abeysuriya, Romesh, Hadida, Jonathan, Sotiropoulos, Stamatios, Jbabdi, Saad, Woolrich, Mark, Bensmail, Chama, Wrobel, Borys, Zhou, Xiaolong, Ji, Zilong, Liu, Xiao, Xia, Yan, Wu, Si, Wang, Xiao, Zhang, Mingsha, Ofer, Netanel, Shefi, Orit, Yaari, Gur, Carnevale, Ted, Majumdar, Amit, Sivagnanam, Subhashini, Yoshimoto, Kenneth, Smirnova, Elena Y, Amakhin, Dmitry V, Malkin, Sergey L, Zaitsev, Aleksey V, Chizhov, Anton V, Zaleshina, Margarita, Zaleshin, Alexander, Barranca, Victor J, Zhu, George, Skilling, Quinton M, Maruyama, Daniel, Ognjanovski, Nicolette, Aton, Sara J, Zochowski, Michal, Wu, Jiaxing, Aton, Sara, Rich, Scott, Booth, Victoria, Budak, Maral, Bernal, Salvador, Neymotin, Samuel A, Suter, Benjamin A, Shepherd, Gordon M G, Felton, Melvin A, Yu, Alfred B, Boothe, David L, Oie, Kelvin S, Franaszczuk, Piotr J, Shuvaev, Sergey A, Başerdem, Batuhan, Zador, Anthony, Koulakov, Alexei A, Madrona, Víctor J, Pereda, Ernesto, Mirasso, Claudio R, Canals, Santiago, Masoli, Stefano, Rongala, Udaya B, Spanne, Anton, Jorntell, Henrik, Oddo, Calogero M, Vartanov, Alexander V, Neklyudova, Anastasia K, Kozlovskiy, Stanislav A, Kiselnikov, Andrey A, Marakshina, Julia A, Teleńczuk, Maria, Teleńczuk, Bartosz, Destexhe, Alain, Kuokkanen, Paula T, Kraemer, Anna, McColgan, Thomas, Carr, Catherine E, and Kempter, Richard
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- 2017
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18. Iso-response methods provide direct insight into dendritic computations
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Häusler Stefan, Kirst Christoph, Herz Andreas, and Stemmler Martin
- Subjects
Cellular and Molecular Neuroscience ,Developmental Neuroscience ,Computer science ,neural computation ,Cognitive Neuroscience ,neuron models ,stimulus integration ,dendritic processing ,Neuroscience (miscellaneous) ,isoresponse ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Computational science ,lcsh:RC321-571 - Abstract
Dendrites of many neuron types exhibit complex morphologies and spatially modulated ionic channel compositions that generate non-trivial integrative properties (Major et al., 2013). These have been described as cascades of linear filters and static nonlinearities (Häusser and Mel, 2003; Larkum et al., 2009). Iso-response methods (see Gollisch and Herz, 2012) provide an alternative approach to understanding the intricate, nonlinear computations in dendrites, while making fewer prior assumptions. Within an iso-response approach, inputs to a dynamical system are varied such that a chosen output measure stays constant. These stimuli define lower-dimensional “iso-response manifolds” whose shape directly reflects the stimulus interaction, regardless of any further nonlinearity that acts on the combined signal. The output measure can range from the neuron’s firing rate (Gollisch et al., 2002) or the probability of a single spike (Gollisch and Herz, 2005) to first-spike latency or even a spike’s phase with respect to some ongoing brain rhythm. As an example (Fig. 1), take a 2D stimulus space parameterized by x1 and x2; the curved surfaces represent the response r(x1,x2) for two alternative models, which take the quadratic (a) and the linear sum (b) as the argument of a sigmoidal nonlinearity. The two scenarios are fundamentally different but generate identical one-dimensional responses. In addition, measurements along radial directions produce similar response curves, as shown by the black lines running along the surfaces. Iso-response curves (r=const), drawn as projections below the surface plots, however, reveal the different underlying processes. Using detailed multi-compartment models, we here show three examples of how the iso-response framework aids in understanding dendritic computations: First, in a pyramidal cell model (Poirazi et al., 2003), we find (Fig. 2) that, in terms of the membrane potential at the soma, activation of synapses on two selected dendritic compartments can give rise to linear (b) as well as curved iso-response lines (a,c). Notably, even inputs to spatially separated compartments (a) can be integrated more non-linearly than nearby inputs (b). Long-range nonlinear interactions are facilitated by local dendritic spikes, which are easily elicited in distal compartments. Second, we find that while the dendritic locations strongly influence the signature of nonlinear interactions, it is less sensitive to changes in the level of background synaptic activity. Finally, we stimulate a Purkinje cell model (de Shutter and Bower, 1994) with a constant input, resulting in regular spiking. We define the output as change in spike timing caused by activating two synapses at different dendritic locations and phases of the regular oscillation. For a large number of parameters we find that the dendrite performs a temporal max-operation on the inputs). These results demonstrate that iso-response methods are well suited to unravel complex dendritic computations in model neurons and that they can provide a powerful tool for experimental research with applications in multi-patch or optogenetic recordings.
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- 2014
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19. Local Postsynaptic Voltage-Gated Sodium Channel Activation in Dendritic Spines of Olfactory Bulb Granule Cells
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Bywalez, Wolfgang G., primary, Patirniche, Dinu, additional, Rupprecht, Vanessa, additional, Stemmler, Martin, additional, Herz, Andreas V.M., additional, Pálfi, Dénes, additional, Rózsa, Balázs, additional, and Egger, Veronica, additional
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- 2016
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20. Information maximization and stochastic resonance in single neurons
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Stemmler, Martin Bernard, Stemmler, Martin Bernard, Stemmler, Martin Bernard, and Stemmler, Martin Bernard
- Abstract
Does the nervous system "tune" itself to perform at peak efficiency? Optimal transmission of information in a single nerve cell occurs when the response is matched to the statistics of naturally occurring stimuli, such that all firing rates are used with equal probability and that redundant temporal correlations in the input are removed. Non-Hebbian, local learning rules are developed to adapt the voltage-dependent ionic conductances in Hodgkin-Huxley models of neurons with the goal of matching the neuron's response to the statistics of natural stimuli. These learning rules allow a nerve cell to maximize the amount of information transmitted about arriving stimuli. At a more detailed level, information transmission in neurons is limited by the noise in the input, defined as the root mean square of the fluctuations in the input. Three different performance measures are shown to scale identically as a function of the noise in simple models of neurons that have both a voltage and current threshold. These performance measures are: the probability of correctly detecting a constant input in a limited time, the signal-to-noise ratio in response to sinusoidal input, and the mutual information between an arbitrarily varying input and the output spike train of the model neuron. Of these, detecting a constant signal is the simplest and most fundamental quantity. For subthreshold signals, the model exhibits stochastic resonance, a non-zero noise amplitude that optimally enhances signal detection. In this case, noise paradoxically does not limit, but instead improves performance. Even though the noise amplitude can dwarf the signal, detection of a weak constant signal using stochastic resonance is still possible when the signal elicits on average only one additional spike. Stochastic resonance could thus play a role in neurobiological sensory systems, where speed is of the utmost importance and averaging over many individual spikes is not possible.
- Published
- 1997
21. Dynamic Neuronal Excitability
- Author
-
Stemmler Martin
- Subjects
Cellular and Molecular Neuroscience ,Neuroscience (miscellaneous) - Published
- 2012
- Full Text
- View/download PDF
22. Information theoretic analysis of rate to phase encoding
- Author
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Stemmler Martin
- Subjects
Physics ,Cellular and Molecular Neuroscience ,Encoding (memory) ,Neuroscience (miscellaneous) ,Phase (waves) ,Algorithm - Published
- 2012
- Full Text
- View/download PDF
23. Connecting multiple spatial scales to decode the population activity of grid cells
- Author
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Stemmler, Martin, primary, Mathis, Alexander, additional, and Herz, Andreas V. M., additional
- Published
- 2015
- Full Text
- View/download PDF
24. Information-theoretic analysis of a dynamic release site using a two-channel model of depression
- Author
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Salmasi, Mehrdad, primary, Stemmler, Martin, additional, Glasauer, Stefan, additional, and Loebel, Alex, additional
- Published
- 2015
- Full Text
- View/download PDF
25. Probable nature of higher-dimensional symmetries underlying mammalian grid-cell activity patterns
- Author
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Mathis, Alexander, primary, Stemmler, Martin B, additional, and Herz, Andreas VM, additional
- Published
- 2015
- Full Text
- View/download PDF
26. Neuronal Phase Response Curves for Maximal Information Transmission
- Author
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Stemmler Martin
- Subjects
Physics ,Cellular and Molecular Neuroscience ,Information transmission ,Control theory ,Phase response ,Neuroscience (miscellaneous) - Published
- 2009
- Full Text
- View/download PDF
27. Phase dynamics of oscillatory neurons and neural coding
- Author
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Stemmler Martin
- Subjects
Spiking neural network ,Bursting ,Cellular and Molecular Neuroscience ,Phase dynamics ,Computer science ,Neuroscience (miscellaneous) ,Neural coding ,Neuroscience ,Neural decoding - Published
- 2008
- Full Text
- View/download PDF
28. From Integrator to Resonator: The Effect of Dendritic Geometry on Neuronal Excitability
- Author
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Stemmler Martin
- Subjects
Physics ,Cellular and Molecular Neuroscience ,Resonator ,Control theory ,Integrator ,Neuroscience (miscellaneous) ,Topology - Published
- 2008
- Full Text
- View/download PDF
29. Movement Dependence and Layer Specificity of Entorhinal Phase Precession in Two-Dimensional Environments
- Author
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Reifenstein, Eric, primary, Stemmler, Martin, additional, Herz, Andreas V. M., additional, Kempter, Richard, additional, and Schreiber, Susanne, additional
- Published
- 2014
- Full Text
- View/download PDF
30. Models of Neural Networks III: Association, Generalization, and Representation
- Author
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Stemmler, Martin
- Subjects
Models of Neural Networks III: Association, Generalization, and Representation (Book) -- Book reviews ,Books -- Book reviews - Published
- 1997
31. Information and Efficiency in the Nervous System—A Synthesis
- Author
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Sengupta, Biswa, primary, Stemmler, Martin B., additional, and Friston, Karl J., additional
- Published
- 2013
- Full Text
- View/download PDF
32. A physiologically inspired model for global remapping in the hippocampus
- Author
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Kammerer, Axel, primary, Mathis, Alexander, additional, Stemmler, Martin, additional, Herz, Andreas, additional, and Leibold, Christian, additional
- Published
- 2011
- Full Text
- View/download PDF
33. Enthorinal phase precession revisited – single-run analysis of in-vivo grid cell data
- Author
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Reifenstein, Eric T, primary, Stemmler, Martin B, additional, Herz, Andreas VM, additional, and Schreiber, Susanne, additional
- Published
- 2011
- Full Text
- View/download PDF
34. Synchronization, oscillations, and 1/f noise in networks of spiking neurons
- Author
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Stemmler, Martin, Usher, Marius, Koch, Christof, Olami, Zeev, Cowan, Jack D., Tesauro, Gerald, and Alspector, Joshua
- Abstract
We investigate a model for neural activity that generates long range temporal correlations, 1/ f noise, and oscillations in global activity. The model consists of a two-dimensional sheet of leaky integrate-and- fire neurons with feedback connectivity consisting of local excitation and surround inhibition. Each neuron is independently driven by homogeneous external noise. Spontaneous symmetry breaking occurs, resulting in the formation of "hotspots" of activity in the network. These localized patterns of excitation appear as clusters that coalesce, disintegrate, or fluctuate in size while simultaneously moving in a random walk constrained by the interaction with other clusters. The emergent cross-correlation functions have a dual structure, with a sharp peak around zero on top of a much broader hill. The power spectrum associated with single units shows a 1/ f decay for small frequencies and is flat at higher frequencies, while the power spectrum of the spiking activity averaged over many cells-equivalent to the local field potential-shows no 1/ f decay but a prominent peak around 40 Hz.
- Published
- 1994
35. How good is grid coding versus place coding for navigation using noisy, spiking neurons?
- Author
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Mathis, Alexander, primary, Stemmler, Martin, additional, and Herz, Andreas, additional
- Published
- 2010
- Full Text
- View/download PDF
36. Action Potential Energy Efficiency Varies Among Neuron Types in Vertebrates and Invertebrates
- Author
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Sengupta, Biswa, primary, Stemmler, Martin, additional, Laughlin, Simon B., additional, and Niven, Jeremy E., additional
- Published
- 2010
- Full Text
- View/download PDF
37. Transmitter Metabolism as a Mechanism of Synaptic Plasticity: A Modeling Study
- Author
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Axmacher, Nikolai, primary, Stemmler, Martin, additional, Engel, Dominique, additional, Draguhn, Andreas, additional, and Ritz, Raphael, additional
- Published
- 2004
- Full Text
- View/download PDF
38. Information Maximization in Single Neurons
- Author
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Kearns, M., Solla, S., Cohn, D., Stemmler, Martin, Koch, Christof, Kearns, M., Solla, S., Cohn, D., Stemmler, Martin, and Koch, Christof
- Abstract
Information from the senses must be compressed into the limited range of firing rates generated by spiking nerve cells. Optimal compression uses all firing rates equally often, implying that the nerve cell's response matches the statistics of naturally occurring stimuli. Since changing the voltage-dependent ionic conductances in the cell membrane alters the flow of information, an unsupervised, non-Hebbian, developmental learning rule is derived to adapt the conductances in Hodgkin-Huxley model neurons. By maximizing the rate of information transmission, each firing rate within the model neuron's limited dynamic range is used equally often. An efficient neuronal representation of incoming sensory information should take advan(cid:173) tage of the regularity and scale invariance of stimulus features in the natural world. In the case of vision, this regularity is reflected in the typical probabilities of encountering particular visual contrasts, spatial orientations, or colors [1]. Given these probabilities, an optimized neural code would eliminate any redundancy, while devoting increased repre(cid:173) sentation to commonly encountered features. At the level of a single spiking neuron, information about a potentially large range of stimuli is compressed into a finite range of firing rates, since the maximum firing rate of a neuron is limited. Optimizing the information transmission through a single neuron in the presence of uniform, additive noise has an intuitive interpretation: the most efficient representation of the input uses every firing rate with equal probability. An analogous principle for non(cid:173) spiking neurons has been tested experimentally by Laughlin [2], who matched the statistics.
- Published
- 1998
39. Representation of Acoustic Communication Signals by Insect Auditory Receptor Neurons
- Author
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Machens, Christian K., primary, Stemmler, Martin B., additional, Prinz, Petra, additional, Krahe, Rüdiger, additional, Ronacher, Bernhard, additional, and Herz, Andreas V. M., additional
- Published
- 2001
- Full Text
- View/download PDF
40. Synchronization, oscillations, and 1/f noise in networks of spiking neurons
- Author
-
Cowan, Jack D., Tesauro, Gerald, Alspector, Joshua, Stemmler, Martin, Usher, Marius, Koch, Christof, Olami, Zeev, Cowan, Jack D., Tesauro, Gerald, Alspector, Joshua, Stemmler, Martin, Usher, Marius, Koch, Christof, and Olami, Zeev
- Abstract
We investigate a model for neural activity that generates long range temporal correlations, 1/ f noise, and oscillations in global activity. The model consists of a two-dimensional sheet of leaky integrate-and- fire neurons with feedback connectivity consisting of local excitation and surround inhibition. Each neuron is independently driven by homogeneous external noise. Spontaneous symmetry breaking occurs, resulting in the formation of "hotspots" of activity in the network. These localized patterns of excitation appear as clusters that coalesce, disintegrate, or fluctuate in size while simultaneously moving in a random walk constrained by the interaction with other clusters. The emergent cross-correlation functions have a dual structure, with a sharp peak around zero on top of a much broader hill. The power spectrum associated with single units shows a 1/ f decay for small frequencies and is flat at higher frequencies, while the power spectrum of the spiking activity averaged over many cells-equivalent to the local field potential-shows no 1/ f decay but a prominent peak around 40 Hz.
- Published
- 1994
41. New biological books: Neural sciences.
- Author
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Stemmler, Martin
- Subjects
- MODELS of Neural Networks III (Book)
- Abstract
Reviews the book `Models of Neural Networks III: Association, Generalization, and Representation,' edited by E. Domany, J.L. van Hemmen, and K. Schulten.
- Published
- 1997
- Full Text
- View/download PDF
42. Spike-timing precision underlies the coding efficiency of auditory receptor neurons.
- Author
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Rokem A, Watzl S, Gollisch T, Stemmler M, Herz AV, and Samengo I
- Subjects
- Acoustic Stimulation, Animal Communication, Animals, Auditory Perception physiology, Electrophysiology, Female, Male, Signal Transduction physiology, Synaptic Transmission physiology, Time Factors, Action Potentials physiology, Evoked Potentials, Auditory physiology, Locusta migratoria physiology, Neurons, Afferent physiology, Sensory Receptor Cells physiology
- Abstract
Sensory systems must translate incoming signals quickly and reliably so that an animal can act successfully in its environment. Even at the level of receptor neurons, however, functional aspects of the sensory encoding process are not yet fully understood. Specifically, this concerns the question how stimulus features and neural response characteristics lead to an efficient transmission of sensory information. To address this issue, we have recorded and analyzed spike trains from grasshopper auditory receptors, while systematically varying the stimulus statistics. The stimulus variations profoundly influenced the efficiency of neural encoding. This influence was largely attributable to the presence of specific stimulus features that triggered remarkably precise spikes whose trial-to-trial timing variability was as low as 0.15 ms--one order of magnitude shorter than typical stimulus time scales. Precise spikes decreased the noise entropy of the spike trains, thereby increasing the rate of information transmission. In contrast, the total spike train entropy, which quantifies the variety of different spike train patterns, hardly changed when stimulus conditions were altered, as long as the neural firing rate remained the same. This finding shows that stimulus distributions that were transmitted with high information rates did not invoke additional response patterns, but instead displayed exceptional temporal precision in their neural representation. The acoustic stimuli that led to the highest information rates and smallest spike-time jitter feature pronounced sound-pressure deflections lasting for 2-3 ms. These upstrokes are reminiscent of salient structures found in natural grasshopper communication signals, suggesting that precise spikes selectively encode particularly important aspects of the natural stimulus environment.
- Published
- 2006
- Full Text
- View/download PDF
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