Gasper Tkacik

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William BialekPrinceton UniversityVerified email at Princeton.EDU
Olivier MarreInstitut de la Vision, INSERM, ParisVerified email at inserm.fr
Michael BerryPrinceton UniversityVerified email at princeton.edu
Elad SchneidmanThe Joseph & Bessie Feinberg Professor, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Thomas GregorPrinceton University and Institut PasteurVerified email at pasteur.fr
Calin C. GuetIST AustriaVerified email at ist.ac.at
Thierry MoraLaboratoire de physique de l'École normale supérieure, Centre national de recherche scientifiqueVerified email at phys.ens.fr
Dario AmodeiCEO and Co-Founder at AnthropicVerified email at anthropic.com
Vijay BalasubramanianUniversity of PennsylvaniaVerified email at physics.upenn.edu
Aleksandra WalczakLaboratoire de physique théorique, École normale supérieureVerified email at lpt.ens.fr
Matthew ChalkSorbonne UniversiteVerified email at inserm.fr
Ronen SegevBen Gurion UniversityVerified email at bgu.ac.il
Tobias BergmillerLecturer in Biosciences, University of ExeterVerified email at exeter.ac.uk
Noam SlonimDistinguished Engineer at IBM ResearchVerified email at il.ibm.com
Mariela PetkovaPhD, Harvard UniversityVerified email at fas.harvard.edu
Thomas R. SokolowskiGroup Leader, Frankfurt Institute for Advanced Studies (FIAS)Verified email at fias.uni-frankfurt.de
Stéphane DenyAssistant Professor at Aalto UniversityVerified email at aalto.fi
Stephanie E. PalmerAssociate Professor, Organismal Biology and Anatomy, University of ChicagoVerified email at uchicago.edu
Jakob RuessInria Paris & Institut PasteurVerified email at inria.fr
Jonathan VictorProfessor of Neurology and Neuroscience, Weill Cornell Medical CollegeVerified email at med.cornell.edu

Gasper Tkacik

Professor, Deputy Dean of the Graduate School, Institute of Science and Technology Austria

Verified email at ist.ac.at - Homepage

Biophysics Computational Neuroscience Gene regulation Evolution Natural scenes


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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	330	2008
Information-based clustering N Slonim, GS Atwal, G Tkačik, W Bialek Proceedings of the National Academy of Sciences 102 (51), 18297-18302, 2005	293	2005
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	290	2014
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	277	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	221	2013
Information transmission in genetic regulatory networks: a review G Tkačik, AM Walczak Journal of Physics: Condensed Matter 23 (15), 153102, 2011	209	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	206	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	205	2011
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	204	2017
Information processing in living systems G Tkačik, W Bialek Annual Review of Condensed Matter Physics 7, 89-117, 2016	202	2016
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	175	2018
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	170	2009
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	167	2019
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	167	2013
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	160	2017
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	153	2009
Ising models for networks of real neurons G Tkacik, E Schneidman, II Berry, J Michael, W Bialek Arxiv preprint q-bio/0611072, 2006	150*	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	135	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	134	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	122	2010

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