| Information flow and optimization in transcriptional regulation G Tkačik, CG Callan Jr, W Bialek Proceedings of the National Academy of Sciences 105 (34), 12265-12270, 2008 | 340 | 2008 |
| Searching for collective behavior in a large network of sensory neurons G Tkačik, O Marre, D Amodei, E Schneidman, W Bialek, MJ Berry PLoS computational biology 10 (1), e1003408, 2014 | 298 | 2014 |
| Information-based clustering N Slonim, GS Atwal, G Tkačik, W Bialek Proceedings of the National Academy of Sciences 102 (51), 18297-18302, 2005 | 295 | 2005 |
| Thermodynamics and signatures of criticality in a network of neurons G Tkačik, T Mora, O Marre, D Amodei, SE Palmer, MJ Berry, W Bialek Proceedings of the National Academy of Sciences 112 (37), 11508-11513, 2015 | 291 | 2015 |
| Positional information, in bits JO Dubuis, G Tkačik, EF Wieschaus, T Gregor, W Bialek Proceedings of the National Academy of Sciences 110 (41), 16301-16308, 2013 | 233 | 2013 |
| Information processing in living systems G Tkačik, W Bialek Annual Review of Condensed Matter Physics 7, 89-117, 2016 | 222 | 2016 |
| Biased partitioning of the multidrug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity T Bergmiller, AMC Andersson, K Tomasek, E Balleza, DJ Kiviet, ... Science 356 (6335), 311-315, 2017 | 216 | 2017 |
| Information transmission in genetic regulatory networks: a review G Tkačik, AM Walczak Journal of Physics: Condensed Matter 23 (15), 153102, 2011 | 215 | 2011 |
| Optimal population coding by noisy spiking neurons G Tkačik, JS Prentice, V Balasubramanian, E Schneidman Proceedings of the National Academy of Sciences 107 (32), 14419-14424, 2010 | 214 | 2010 |
| The formation of the Bicoid morphogen gradient requires protein movement from anteriorly localized mRNA SC Little, G Tkačik, TB Kneeland, EF Wieschaus, T Gregor PLoS biology 9 (3), e1000596, 2011 | 207 | 2011 |
| Toward a unified theory of efficient, predictive, and sparse coding M Chalk, O Marre, G Tkačik Proceedings of the National Academy of Sciences 115 (1), 186-191, 2018 | 188 | 2018 |
| Optimal decoding of cellular identities in a genetic network MD Petkova, G Tkačik, W Bialek, EF Wieschaus, T Gregor Cell 176 (4), 844-855. e15, 2019 | 179 | 2019 |
| Optimizing information flow in small genetic networks G Tkačik, AM Walczak, W Bialek Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (3 …, 2009 | 176 | 2009 |
| Decoding of position in the developing neural tube from antiparallel morphogen gradients M Zagorski, Y Tabata, N Brandenberg, MP Lutolf, G Tkačik, T Bollenbach, ... Science 356 (6345), 1379-1383, 2017 | 175 | 2017 |
| The simplest maximum entropy model for collective behavior in a neural network G Tkačik, O Marre, T Mora, D Amodei, MJ Berry II, W Bialek Journal of Statistical Mechanics: Theory and Experiment 2013 (03), P03011, 2013 | 169 | 2013 |
| The dynamics of adaptation on correlated fitness landscapes S Kryazhimskiy, G Tkačik, JB Plotkin Proceedings of the National Academy of Sciences 106 (44), 18638-18643, 2009 | 154 | 2009 |
| Ising models for networks of real neurons G Tkacik, E Schneidman, II Berry, J Michael, W Bialek Arxiv preprint q-bio/0611072, 2006 | 153* | 2006 |
| Stimulus-dependent maximum entropy models of neural population codes E Granot-Atedgi, G Tkačik, R Segev, E Schneidman PLoS computational biology 9 (3), e1002922, 2013 | 139 | 2013 |
| Information capacity of genetic regulatory elements G Tkačik, CG Callan Jr, W Bialek Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 78 (1 …, 2008 | 139 | 2008 |
| Optimizing information flow in small genetic networks. II. Feed-forward interactions AM Walczak, G Tkačik, W Bialek Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 81 (4 …, 2010 | 128 | 2010 |
William BialekPrinceton UniversityPrinceton.EDU의 이메일 확인됨
