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43 results on '"Westra, Ronald L."'

1. Hybrid Quantum Singular Spectrum Decomposition for Time Series Analysis

Author

Postema, Jasper Johannes, Bonizzi, Pietro, Koekoek, Gideon, Westra, Ronald L., and Kokkelmans, Servaas J. J. M. F.

Subjects
Quantum Physics, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Classical data analysis requires computational efforts that become intractable in the age of Big Data. An essential task in time series analysis is the extraction of physically meaningful information from a noisy time series. One algorithm devised for this very purpose is singular spectrum decomposition (SSD), an adaptive method that allows for the extraction of narrow-banded components from non-stationary and non-linear time series. The main computational bottleneck of this algorithm is the singular value decomposition (SVD). Quantum computing could facilitate a speedup in this domain through superior scaling laws. We propose quantum SSD by assigning the SVD subroutine to a quantum computer. The viability for implementation and performance of this hybrid algorithm on a near term hybrid quantum computer is investigated. In this work we show that by employing randomised SVD, we can impose a qubit limit on one of the circuits to improve scalibility. Using this, we efficiently perform quantum SSD on simulations of local field potentials recorded in brain tissue, as well as GW150914, the first detected gravitational wave event., Comment: 18 pages, 6 figures

Published
2022
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5. Identification of Piecewise Linear Models of Complex Dynamical Systems

Author

Westra, Ronald L., Petreczky, Mihály, and Peeters, Ralf L. M.

Subjects
Mathematics - Optimization and Control, Computer Science - Systems and Control, 93B15, 93B20, 93B25, 93C99
Abstract

The paper addresses the realization and identification problem or a subclass of piecewise-affine hybrid systems. The paper provides necessary and sufficient conditions for existence of a realization, a characterization of minimality, and an identification algorithm for this subclass of hybrid systems. The considered system class and the identification problem are motivated by applications in systems biology.

Published
2011

8. Hybrid Quantum Singular Spectrum Decomposition for Time Series Analysis

Author

Jasper Postema, Pietro Bonizzi, Gideon Koekoek, Westra, Ronald L., Servaas Kokkelmans, Coherence and Quantum Technology, and Center for Quantum Materials and Technology Eindhoven

Subjects
Quantum Physics, quant-ph, FOS: Physical sciences, Quantum Physics (quant-ph), Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM)
Abstract

Classical data analysis requires computational efforts that become intractable in the age of Big Data. An essential task in time series analysis is the extraction of physically meaningful information from a noisy time series. One algorithm devised for this very purpose is singular spectrum decomposition (SSD), an adaptive method that allows for the extraction of narrow-banded components from non-stationary and non-linear time series. The main computational bottleneck of this algorithm is the singular value decomposition (SVD). Quantum computing could facilitate a speedup in this domain through superior scaling laws. We propose quantum SSD by assigning the SVD subroutine to a quantum computer. The viability for implementation and performance of this hybrid algorithm on a near term hybrid quantum computer is investigated. In this work we show that by employing randomised SVD, we can impose a qubit limit on one of the circuits to improve scalibility. Using this, we efficiently perform quantum SSD on simulations of local field potentials recorded in brain tissue, as well as GW150914, the first detected gravitational wave event., 18 pages, 6 figures

Published
2022

9. The Identification of Dynamic Gene-Protein Networks

Author

Westra, Ronald L., Hollanders, Goele, Bex, Geert Jan, Gyssens, Marc, Tuyls, Karl, Istrail, Sorin, editor, Pevzner, Pavel, editor, Waterman, Michael S., editor, Tuyls, Karl, editor, Westra, Ronald, editor, Saeys, Yvan, editor, and Nowé, Ann, editor

Published
2007
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10. On Phase Transitions in Learning Sparse Networks

Author

Hollanders, Goele, Bex, Geert Jan, Gyssens, Marc, Westra, Ronald L., Tuyls, Karl, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Kok, Joost N., editor, Koronacki, Jacek, editor, Mantaras, Raomon Lopez de, editor, Matwin, Stan, editor, Mladenič, Dunja, editor, and Skowron, Andrzej, editor

Published
2007
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12. Additional file 1 of Hydropathicity-based prediction of pain-causing NaV1.7 variants

Author

Makros N. Xenakis, Kapetis, Dimos, Yang, Yang, Gerrits, Monique M., Heijman, Jordi, Waxman, Stephen G., Lauria, Giuseppe, Faber, Catharina G., Westra, Ronald L., Lindsey, Patrick J., and Smeets, Hubert J.

Subjects
InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ComputingMilieux_COMPUTERSANDEDUCATION, Data_FILES, ComputerApplications_COMPUTERSINOTHERSYSTEMS
Abstract

Additional file 1: Supplementary information.

Published
2021
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17. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 - Meeting Abstracts - Antwerp, Belgium. 15–20 July 2017

Author

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

Published
2017
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18. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3

Author

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

Published
2017
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23. The pattern memory of gene-protein networks

Author

Westra, Ronald L., Hollanders, Goele, Bex, Geert Jan, Gyssens, Marc, and Karl Tuyls

Subjects
gene-protein networks, pattern memory, linear state space models, phase transitions, information entropy
Abstract

In this paper we study the potential of gene-protein interaction networks to store input-output patterns. The central question in this study concerns the memory capacity of a network of a given number of genes and proteins, which interact according to a linear state space model with external inputs. Here it is assumed that to a certain combination of inputs there exists an optimal state of the system, i.e., values of the gene expressions and protein levels, that has been attained externally, e.g., through evolutionary learning. Given such a set of learned optimal input-output patterns, the design question here is to find a sparse and hierarchical network structure for the gene-protein interactions and the gene-input couplings. This problem is formulated as an optimization problem in a linear programming setting. Numerical analysis shows that there are clear scale-invariant continuous second-order phase transitions for the network sparsity as the number of patterns increases. These phase transitions divide the system in three regions with different memory characteristics. It is possible to formulate simple scaling rules for the behavior of the network sparsity. Finally, numerical experiments show that these patterns are stable within a certain finite range around the patterns.

Published
2007

24. Network topology of NaV1.7 mutations in sodium channel-related painful disorders.

Author

Kapetis, Dimos, Sassone, Jenny, Yang Yang, Galbardi, Barbara, Xenakis, Markos N., Westra, Ronald L., Szklarczyk, Radek, Lindsey, Patrick, Faber, Catharina G., Gerrits, Monique, Merkies, Ingemar S. J., Dib-Hajj, Sulayman D., Mantegazza, Massimo, Waxman, Stephen G., and Lauria, Giuseppe

Subjects
SODIUM channels, PAIN, ERYTHROMELALGIA, STRUCTURAL models, GENETIC polymorphisms
Abstract

Background: Gain-of-function mutations in SCN9A gene that encodes the voltage-gated sodium channel NaV1.7 have been associated with a wide spEctrum of painful syndromes in humans including inherited erythromelalgia, paroxysmal extreme pain disorder and small fibre neuropathy. These mutations change the biophysical properties of NaV1.7 channels leading to hyperexcitability of dorsal root ganglion nociceptors and pain symptoms. There is a need for better understanding of how gain-of-function mutations alter the atomic structure of Nav1.7. Results: We used homology modeling to build an atomic model of NaV1.7 and a network-based theoretical approach, which can predict interatomic interactions and connEctivity arrangements, to investigate how pain-related NaV1.7 mutations may alter specific interatomic bonds and cause connEctivity rearrangement, compared to benign variants and polymorphisms. For each amino acid substitution, we calculated the topological parameters betweenness centrality (Bct), degree (D), clustering coefficient (CCct), closeness (Cct), and eccentricity (Ect), and calculated their variation (Δvalue=mutant value-WT value). Pathogenic NaV1.7 mutations showed significantly higher variation of ∣ΔBct∣ compared to benign variants and polymorphisms. Using the cut-off value ±0.26 calculated by receiver operating curve analysis, we found that ΔBct corrEctly differentiated pathogenic NaV1.7 mutations from variants not causing biophysical abnormalities (nABN) and homologous SNPs (hSNPs) with 76% sensitivity and 83% specificity. Conclusions: Our in-silico analyses predict that pain-related pathogenic NaV1.7 mutations may affEct the network topological properties of the protein and suggest ∣ΔBct∣ value as a potential in-silico marker. [ABSTRACT FROM AUTHOR]

Published
2017
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30. Inverse reconstruction of epicardial potentials improved by vectorcardiography and realistic potentials.

Author

Cluitmans, Matthijs JM, Bonizzi, Pietro, Karel, Joel MH, Volders, Paul GA, Peeters, Ralf LM, and Westra, Ronald L

Abstract

The inverse problem of electrocardiography is to reconstruct electrical activity at the level of the epicardium from body-surface electrograms and a patient-specific torsoheart geometry. This is complicated by the ill-posedness of the inverse problem, making the reconstruction imperfect. Previously, we have shown that the use of realistic epicardial training electrograms can improve reconstruction quality in silico. Here, we apply this method in a patient and compare the resulting computed electrograms with intracardiac measurements. Additionally, we utilize a new method that yields further improvements by incorporating characteristics of vectorcardiographic information. Patient-specific vectorcardiographic optimization combined with training data created on a patient-specific heart improves morphologies of the reconstructed epicardial potentials. This underlines the need for constraints based on real patient-specific information in the regularization of the electrocardiographic inverse problem. [ABSTRACT FROM PUBLISHER]

Published
2013

31. Realistic training data improve noninvasive reconstruction of heart-surface potentials.

Author

Cluitmans, Matthijs J. M., Peeters, Ralf L. M., Volders, Paul G. A., and Westra, Ronald L.

Abstract

The inverse problem of electrocardiography is to noninvasively reconstruct electrical heart activity from body-surface electrocardiograms. Solving this problem is beneficial to clinical practice. However, reconstructions cannot be obtained straightforwardly due to the ill-posed nature of this problem. Therefore, regularization schemes are necessary to arrive at realistic solutions. To date, no electrophysiological data have been used in reconstruction methods and regularization schemes. In this study, we used a training set of simulated heart-surface potentials to create a realistic basis for reconstructions of electrical cardiac activity. We tested this method in computer simulations and in one patient. The quality of reconstruction improved significantly after projection of the results of traditional regularization methods on this new basis, both in silico (p<0.01) and in vivo (p<0.05). Thus, we demonstrate that the novel concept of applying electrophysiological data might be useful to improve noninvasive reconstruction of electrical heart activity. [ABSTRACT FROM PUBLISHER]

Published
2012
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32. On Phase Transitions in Learning Sparse Networks.

Author

Carbonell, Jaime G., Siekmann, Jörg, Kok, Joost N., Koronacki, Jacek, de Mantaras, Raomon Lopez, Matwin, Stan, Mladenič, Dunja, Skowron, Andrzej, Hollanders, Goele, Bex, Geert Jan, Gyssens, Marc, Westra, Ronald L., and Tuyls, Karl

Abstract

In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity mean that we are provided with a small data set and a high number of unknown components of the system, most of which are zero. Under these circumstances, a model needs to be learned that fits the underlying system, capable of generalization. This corresponds to the student-teacher setting in machine learning. In the first part of this paper we introduce a learning algorithm, based on L1-minimization, to identify interaction networks from poor data and analyze its dynamics with respect to phase transitions. The efficiency of the algorithm is measured by the generalization error, which represents the probability that the student is a good fit to the teacher. In the second part of this paper we show that from a system with a specific system size value the generalization error of other system sizes can be estimated. A comparison with a set of simulation experiments show a very good fit. [ABSTRACT FROM AUTHOR]

Published
2007
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33. The Identification of Dynamic Gene-Protein Networks.

Author

Istrail, Sorin, Pevzner, Pavel, Waterman, Michael S., Tuyls, Karl, Westra, Ronald, Saeys, Yvan, Nowé, Ann, Westra, Ronald L., Hollanders, Goele, Bex, Geert Jan, and Gyssens, Marc

Abstract

In this study we will focus on piecewise linear state space models for gene-protein interaction networks. We will follow the dynamical systems approach with special interest for partitioned state spaces. From the observation that the dynamics in natural systems tends to punctuated equilibria, we will focus on piecewise linear models and sparse and hierarchic interactions, as, for instance, described by Glass, Kauffman, and de Jong. Next, the paper is concerned with the identification (also known as reverse engineering and reconstruction) of dynamic genetic networks from microarray data. We will describe exact and robust methods for computing the interaction matrix in the special case of piecewise linear models with sparse and hierarchic interactions from partial observations. Finally, we will analyze and evaluate this approach with regard to its performance and robustness towards intrinsic and extrinsic noise. [ABSTRACT FROM AUTHOR]

Published
2007
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38. Detecting near falls from accelerometer data using orthogonal wavelets

Author

Joël Karel, Rachel Senden, Westra, Ronald L., Hans Savelberg, Rik Vegt, Kenneth Meijer, Dep. of Advanced Computing Sciences, RS: FSE DACS, MUMC+: TPZ Fysiotherapie (9), RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: SHE - R1 - Research (OvO), Nutrition and Movement Sciences, and RS: NUTRIM - R3 - Respiratory & Age-related Health

40. Determinants of Beat-to-Beat Variability of Repolarization Duration in the Canine Ventricular Myocyte: A Computational Analysis

Author

Heijman, Jordi, Zaza, Antonio, Johnson, Daniel M., Rudy, Yoram, Peeters, Ralf L. M., Volders, Paul G. A., Westra, Ronald L., Heijman, Jordi, Zaza, Antonio, Johnson, Daniel M., Rudy, Yoram, Peeters, Ralf L. M., Volders, Paul G. A., and Westra, Ronald L.

Abstract

Beat-to-beat variability of repolarization duration (BVR) is an intrinsic characteristic of cardiac function and a better marker of proarrhythmia than repolarization prolongation alone. The ionic mechanisms underlying baseline BVR in physiological conditions, its rate dependence, and the factors contributing to increased BVR in pathologies remain incompletely understood. Here, we employed computer modeling to provide novel insights into the subcellular mechanisms of BVR under physiological conditions and during simulated drug-induced repolarization prolongation, mimicking long-QT syndromes type 1, 2, and 3. We developed stochastic implementations of 13 major ionic currents and fluxes in a model of canine ventricular-myocyte electrophysiology. Combined stochastic gating of these components resulted in short- and long-term variability, consistent with experimental data from isolated canine ventricular myocytes. The model indicated that the magnitude of stochastic fluctuations is rate dependent due to the rate dependence of action-potential (AP) duration (APD). This process (the “active” component) and the intrinsic nonlinear relationship between membrane current and APD (“intrinsic component”) contribute to the rate dependence of BVR. We identified a major role in physiological BVR for stochastic gating of the persistent Na+ current (INa) and rapidly activating delayed-rectifier K+ current (IKr). Inhibition of IKr or augmentation of INa significantly increased BVR, whereas subsequent β-adrenergic receptor stimulation reduced it, similar to experimental findings in isolated myocytes. In contrast, β-adrenergic stimulation increased BVR in simulated long-QT syndrome type 1. In addition to stochastic channel gating, AP morphology, APD, and beat-to-beat variations in Ca2+ were found to modulate single-cell BVR. Cell-to-cell coupling decreased BVR and this was more pronounced when a model cell with

41. Local control of β-adrenergic stimulation: Effects on ventricular myocyte electrophysiology and Ca2+-transient

Author

Heijman, Jordi, Volders, Paul G.A., Westra, Ronald L., and Rudy, Yoram

Subjects
*ADRENERGIC receptors, *ELECTROPHYSIOLOGY, *BRAIN stimulation, *MUSCLE cells, *CALCIUM in the body, *CELLULAR signal transduction, *COMPUTER simulation
Abstract

Abstract: Local signaling domains and numerous interacting molecular pathways and substrates contribute to the whole-cell response of myocytes during β-adrenergic stimulation (βARS). We aimed to elucidate the quantitative contribution of substrates and their local signaling environments during βARS to the canine epicardial ventricular myocyte electrophysiology and calcium transient (CaT). We present a computational compartmental model of βARS and its electrophysiological effects. Novel aspects of the model include localized signaling domains, incorporation of β1 and β2 receptor isoforms, a detailed population-based approach to integrate the βAR and Ca2+/Calmodulin kinase (CaMKII) signaling pathways and their effects on a wide range of substrates that affect whole-cell electrophysiology and CaT. The model identifies major roles for phosphodiesterases, adenylyl cyclases, PKA and restricted diffusion in the control of local cAMP levels and shows that activation of specific cAMP domains by different receptor isoforms allows for specific control of action potential and CaT properties. In addition, the model predicts increased CaMKII activity during βARS due to rate-dependent accumulation and increased Ca2+ cycling. CaMKII inhibition, reduced compartmentation, and selective blockade of β1AR is predicted to reduce the occurrence of delayed afterdepolarizations during βARS. Finally, the relative contribution of each PKA substrate to whole-cell electrophysiology is quantified by comparing simulations with and without phosphorylation of each target. In conclusion, this model enhances our understanding of localized βAR signaling and its whole-cell effects in ventricular myocytes by incorporating receptor isoforms, multiple pathways and a detailed representation of multiple-target phosphorylation; it provides a basis for further studies of βARS under pathological conditions. [Copyright &y& Elsevier]

Published
2011
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42. Wavelet-sparsity based regularization over time in the inverse problem of electrocardiography.

Author

Cluitmans MJ, Karel JM, Bonizzi P, Volders PG, Westra RL, and Peeters RL

Subjects
Action Potentials, Body Surface Potential Mapping instrumentation, Body Surface Potential Mapping methods, Electrocardiography methods, Humans, Imaging, Three-Dimensional instrumentation, Imaging, Three-Dimensional methods, Wavelet Analysis, Electrocardiography instrumentation, Heart Conduction System physiology
Abstract

Noninvasive, detailed assessment of electrical cardiac activity at the level of the heart surface has the potential to revolutionize diagnostics and therapy of cardiac pathologies. Due to the requirement of noninvasiveness, body-surface potentials are measured and have to be projected back to the heart surface, yielding an ill-posed inverse problem. Ill-posedness ensures that there are non-unique solutions to this problem, resulting in a problem of choice. In the current paper, it is proposed to restrict this choice by requiring that the time series of reconstructed heart-surface potentials is sparse in the wavelet domain. A local search technique is introduced that pursues a sparse solution, using an orthogonal wavelet transform. Epicardial potentials reconstructed from this method are compared to those from existing methods, and validated with actual intracardiac recordings. The new technique improves the reconstructions in terms of smoothness and recovers physiologically meaningful details. Additionally, reconstruction of activation timing seems to be improved when pursuing sparsity of the reconstructed signals in the wavelet domain.

Published
2013
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43. Realistic training data improve noninvasive reconstruction of heart-surface potentials.

Author

Cluitmans MJ, Peeters RL, Volders PG, and Westra RL

Subjects
Humans, Tomography, X-Ray Computed, Electrocardiography methods, Heart physiology
Abstract

The inverse problem of electrocardiography is to noninvasively reconstruct electrical heart activity from body-surface electrocardiograms. Solving this problem is beneficial to clinical practice. However, reconstructions cannot be obtained straightforwardly due to the ill-posed nature of this problem. Therefore, regularization schemes are necessary to arrive at realistic solutions. To date, no electrophysiological data have been used in reconstruction methods and regularization schemes. In this study, we used a training set of simulated heart-surface potentials to create a realistic basis for reconstructions of electrical cardiac activity. We tested this method in computer simulations and in one patient. The quality of reconstruction improved significantly after projection of the results of traditional regularization methods on this new basis, both in silico (p<0.01) and in vivo (p<0.05). Thus, we demonstrate that the novel concept of applying electrophysiological data might be useful to improve noninvasive reconstruction of electrical heart activity.

Published
2012
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