Eric Shea‐Brown

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All published works

Action	Title	Year	Authors
+ PDF Chat	Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks.	2024	Yuxiu Shao David Dahmen Stefano Recanatesi Eric Shea‐Brown Srdjan Ostojic
+	How connectivity structure shapes rich and lazy learning in neural circuits.	2024	Yuhan Helena Liu Aristide Baratin Jonathan Cornford Ştefan Mihalaş Eric Shea‐Brown Guillaume Lajoie
+	Expressive probabilistic sampling in recurrent neural networks	2023	Shirui Chen Linxin Preston Jiang Rajesh P. N. Rao Eric Shea‐Brown
+	A simple connection from loss flatness to compressed representations in neural networks	2023	Shirui Chen Stefano Recanatesi Eric Shea‐Brown
+	How connectivity structure shapes rich and lazy learning in neural circuits	2023	Yuhan Helena Liu Aristide Baratin Jonathan Cornford Ştefan Mihalaş Eric Shea‐Brown Guillaume Lajoie
+	Attention for Causal Relationship Discovery from Biological Neural Dynamics	2023	Ziyu Lu Anika Tabassum Shruti Kulkarni Mi Lu J. Nathan Kutz Eric Shea‐Brown Seung–Hwan Lim
+	Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs	2023	James Hazelden Yuhan Helena Liu Eli Shlizerman Eric Shea‐Brown
+	Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules	2022	Yuhan Helena Liu Arna Ghosh Blake Richards Eric Shea‐Brown Guillaume Lajoie
+	Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators	2022	Yuhan Helena Liu Stephen M. Smith Ştefan Mihalaş Eric Shea‐Brown Uygar Sümbül
+ PDF Chat	Network Dynamics Governed by Lyapunov Functions: From Memory to Classification	2020	Merav Stern Eric Shea‐Brown
+	Firing rate of the leaky integrate-and-fire neuron with stochastic conductance-based synaptic inputs with short decay times	2020	Timothy D. Oleskiw Wyeth Bair Eric Shea‐Brown Nicolas Brunel
+	Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex	2019	Jianghong Shi Eric Shea‐Brown Michael A. Buice
+	Dimensionality compression and expansion in Deep Neural Networks	2019	Stefano Recanatesi Matthew Farrell Madhu Advani Timothy C. Moore Guillaume Lajoie Eric Shea‐Brown
+	Comparison Against Task Driven Artificial Neural Networks Reveals Functional Organization of Mouse Visual Cortex	2019	Jianghong Shi Eric Shea‐Brown Michael A. Buice
+ PDF Chat	Feedback through graph motifs relates structure and function in complex networks	2018	Yu Hu Steven L. Brunton Nicholas Cain Ştefan Mihalaş J. Nathan Kutz Eric Shea‐Brown
+ PDF Chat	Predicting how and when hidden neurons skew measured synaptic interactions	2018	Braden A. W. Brinkman Fred Rieke Eric Shea‐Brown Michael A. Buice
+ PDF Chat	Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion	2018	Hannah Choi Anitha Pasupathy Eric Shea‐Brown
+ PDF Chat	From the statistics of connectivity to the statistics of spike times in neuronal networks	2017	Gabriel Koch Ocker Yu Hu Michael A. Buice Brent Doiron Krešimir Josić́ Robert Rosenbaum Eric Shea‐Brown
+ PDF Chat	Linking structure and activity in nonlinear spiking networks	2017	Gabriel Koch Ocker Krešimir Josić́ Eric Shea‐Brown Michael A. Buice
+ PDF Chat	Robust information propagation through noisy neural circuits	2017	Joel Zylberberg Alexandre Pouget Peter E. Latham Eric Shea‐Brown
+ PDF Chat	From the statistics of connectivity to the statistics of spike times in neuronal networks	2017	Gabriel Koch Ocker Yu Hu Michael A. Buice Brent Doiron Krešimir Josić́ Robert Rosenbaum Eric Shea‐Brown
+ PDF Chat	Effective synaptic interactions in subsampled nonlinear networks with strong coupling	2017	Braden A. W. Brinkman Fred Rieke Eric Shea‐Brown Michael A. Buice
+	Predicting how and when hidden neurons skew measured synaptic interactions	2017	Braden A. W. Brinkman Fred Rieke Eric Shea‐Brown Michael A. Buice
+	Effective synaptic interactions in subsampled nonlinear networks with strong coupling	2017	Braden A. W. Brinkman Fred Rieke Eric Shea‐Brown Michael A. Buice
+	The Multivariate Hawkes Process in High Dimensions: Beyond Mutual Excitation	2017	Shizhe Chen Ali Shojaie Eric Shea‐Brown Daniela Witten
+	From the statistics of connectivity to the statistics of spike times in neuronal networks	2017	Gabriel Koch Ocker Yu Hu Michael A. Buice Brent Doiron Krešimir Josić́ R. A. Rosenbaum Eric Shea‐Brown
+ PDF Chat	Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems	2016	Guillaume Lajoie Kevin K. Lin Jean-Philippe Thivierge Eric Shea‐Brown
+ PDF Chat	Linking structure and activity in nonlinear spiking networks	2016	Gabriel Koch Ocker Krešimir Josić́ Eric Shea‐Brown Michael A. Buice
+	Different roles for inhibition in the rhythm-generating respiratory network	2016	Kameron Decker Harris Tatiana Dashevskiy Joshua Mendoza Alfredo J. Garcia Jan‐Marino Ramirez Eric Shea‐Brown
+	Nonnegative spline regression of incomplete tracing data reveals high resolution neural connectivity	2016	Kameron Decker Harris Ştefan Mihalaş Eric Shea‐Brown
+	High resolution neural connectivity from incomplete tracing data using nonnegative spline regression	2016	Kameron Decker Harris Ştefan Mihalaş Eric Shea‐Brown
+	Different roles for inhibition in the rhythm-generating respiratory network	2016	Kameron Decker Harris Tatiana Dashevskiy Joshua Mendoza Alfredo J. Garcia Jan‐Marino Ramirez Eric Shea‐Brown
+	Predictive coding in area V4: dynamic shape discrimination under partial occlusion	2016	Hannah Choi Anitha Pasupathy Eric Shea‐Brown
+ PDF Chat	Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations	2015	Joel Zylberberg Eric Shea‐Brown
+ PDF Chat	Constructing Precisely Computing Networks with Biophysical Spiking Neurons	2015	Michael A. Schwemmer Adrienne L. Fairhall Sophie Denève Eric Shea‐Brown
+	Constructing precisely computing networks with biophysical spiking neurons	2014	Michael A. Schwemmer Adrienne L. Fairhall Sophie Denève Eric Shea‐Brown
+ PDF Chat	Structured chaos shapes spike-response noise entropy in balanced neural networks	2014	Guillaume Lajoie Jean‐Philippe Thivierge Eric Shea‐Brown
+ PDF Chat	Local paths to global coherence: Cutting networks down to size	2014	Yu Hu James Trousdale Krešimir Josić́ Eric Shea‐Brown
+ PDF Chat	The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes	2014	Yu Hu Joel Zylberberg Eric Shea‐Brown
+ PDF Chat	When do microcircuits produce beyond-pairwise correlations?	2014	Andrea K. Barreiro Julijana Gjorgjieva Fred Rieke Eric Shea‐Brown
+	Impact of triplet correlations on neural population codes	2014	Alex Cayco-Gajic Joel Zylberberg Eric Shea‐Brown
+	Constructing precisely computing networks with biophysical spiking neurons	2014	Michael A. Schwemmer Adrienne L. Fairhall Sophie Denève Eric Shea‐Brown
+	Structured chaos shapes spike-response noise entropy in balanced neural networks	2013	Guillaume Lajoie Jean‐Philippe Thivierge Eric Shea‐Brown
+	The sign rule and beyond: Boundary effects, flexibility, and optimal noise correlations in neural population codes	2013	Yu Hu Joel Zylberberg Eric Shea‐Brown
+	A simple mechanism for higher-order correlations in integrate-and-fire neurons	2013	David Leen Eric Shea‐Brown
+	A generative spike train model with time-structured higher order correlations	2013	James Trousdale Yu Hu Eric Shea‐Brown Krešimir Josić́
+ PDF Chat	Chaos and reliability in balanced spiking networks with temporal drive	2013	Guillaume Lajoie Kevin Lin Eric Shea‐Brown
+ PDF Chat	Neutral Stability, Rate Propagation, and Critical Branching in Feedforward Networks	2013	N. Alex Cayco-Gajic Eric Shea‐Brown
+ PDF Chat	Motif statistics and spike correlations in neuronal networks	2013	Yu Hu James Trousdale Krešimir Josić́ Eric Shea‐Brown
+	Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity	2013	Nicholas Cain Andrea K. Barreiro Michael N. Shadlen Eric Shea‐Brown
+ PDF Chat	A generative spike train model with time-structured higher order correlations	2013	James Trousdale Yu Hu Eric Shea‐Brown Krešimir Josić́
+	A simple mechanism for higher-order correlations in integrate-and-fire neurons	2013	David Leen Eric Shea‐Brown
+	A generative spike train model with time-structured higher order correlations	2013	James Trousdale Yu Hu Eric Shea‐Brown Krešimir Josić́
+	Structured chaos shapes spike-response noise entropy in balanced neural networks	2013	Guillaume Lajoie Jean‐Philippe Thivierge Eric Shea‐Brown
+ PDF Chat	Impact of Correlated Neural Activity on Decision-Making Performance	2012	Nicholas Cain Eric Shea‐Brown
+	Neutral stability, rate propagation, and critical branching in feedforward networks	2012	Natasha Cayco Gajic Eric Shea‐Brown
+	Chaos and reliability in balanced spiking networks	2012	Guillaume Lajoie Kevin Lin Eric Shea‐Brown
+	A-current and type I/type II transition determine collective spiking from common input	2012	Andrea K. Barreiro Evan L. Thilo Eric Shea‐Brown
+ PDF Chat	A point process framework for modeling electrical stimulation of the auditory nerve	2012	Joshua H. Goldwyn Jay T. Rubinstein Eric Shea‐Brown
+ PDF Chat	Impact of Network Structure and Cellular Response on Spike Time Correlations	2012	James Trousdale Yu Hu Eric Shea‐Brown Krešimir Josić́
+	Local paths to global coherence: cutting networks down to size	2012	Yu Hu James Trousdale Krešimir Josić́ Eric Shea‐Brown
+	Neutral stability, rate propagation, and critical branching in feedforward networks	2012	Natasha Cayco Gajic Eric Shea‐Brown
+	Impact of correlated neural activity on decision making performance	2012	Nicholas Cain Eric Shea‐Brown
+	Neural integrators for decision making: A favorable tradeoff between robustness and sensitivity	2011	Nicholas Cain Andrea K. Barreiro Michael N. Shadlen Eric Shea‐Brown
+ PDF Chat	The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations	2011	Joshua H. Goldwyn Eric Shea‐Brown
+	The A-current and Type I / Type II transition determine collective spiking from common input	2011	Andrea K. Barreiro Evan L. Thilo Eric Shea‐Brown
+ PDF Chat	Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neurons	2011	Joshua H. Goldwyn Nikita S. Imennov Michael Famulare Eric Shea‐Brown
+ PDF Chat	Shared Inputs, Entrainment, and Desynchrony in Elliptic Bursters: From Slow Passage to Discontinuous Circle Maps	2011	Guillaume Lajoie Eric Shea‐Brown
+	Neural integrators for decision making: A favorable tradeoff between robustness and sensitivity	2011	Nicholas Cain Andrea K. Barreiro Michael N. Shadlen Eric Shea‐Brown
+	The A-current and Type I / Type II transition determine collective spiking from common input	2011	Andrea K. Barreiro Evan L. Thilo Eric Shea‐Brown
+	When are microcircuits well-modeled by maximum entropy methods?	2010	Andrea K. Barreiro Julijana Gjorgjieva Fred Rieke Eric Shea‐Brown
+	Shared inputs and desynchrony in elliptic bursters: from slow passage to discontinuous circle maps	2010	Guillaume Lajoie Eric Shea‐Brown
+	Shared inputs, entrainment, and desynchrony in elliptic bursters: from slow passage to discontinuous circle maps	2010	Guillaume Lajoie Eric Shea‐Brown
+ PDF Chat	When are microcircuits well-modeled by maximum entropy methods?	2010	Andrea K. Barreiro Eric Shea‐Brown Fred Rieke Julijana Gjorgjieva
+ PDF Chat	Time scales of spike-train correlation for neural oscillators with common drive	2010	Andrea K. Barreiro Eric Shea‐Brown Evan L. Thilo
+	Shared inputs, entrainment, and desynchrony in elliptic bursters: from slow passage to discontinuous circle maps	2010	Guillaume Lajoie Eric Shea‐Brown
+	When are microcircuits well-modeled by maximum entropy methods?	2010	Andrea K. Barreiro Julijana Gjorgjieva Fred Rieke Eric Shea‐Brown
+ PDF Chat	Stimulus-Dependent Correlations and Population Codes	2009	Krešimir Josić́ Eric Shea‐Brown Brent Doiron Jaime de la Rocha
+ PDF Chat	Reliability of layered neural oscillator networks	2009	Kevin Lin Eric Shea‐Brown Lai-Sang Young
+ PDF Chat	Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding	2008	Eric Shea‐Brown Krešimir Josić́ Jaime de la Rocha Brent Doiron
+	Reliability of Layered Neural Oscillator Networks	2008	Kevin Lin Eric Shea‐Brown Lai-Sang Young
+	Stimulus-dependent correlations and population codes	2008	Krešimir Josić́ Eric Shea‐Brown Brent Doiron Jaime de la Rocha
+	Reliability of Coupled Oscillators II: Larger Networks	2007	Kevin Lin Eric Shea‐Brown Lai-Sang Young
+	Reliability of Coupled Oscillators I: Two-Oscillator Systems	2007	Kevin Lin Eric Shea‐Brown Lai-Sang Young
+	Reliable and unreliable dynamics in driven coupled oscillators	2006	Kevin Lin Eric Shea‐Brown Lai-Sang Young

Common Coauthors

Coauthor	Papers Together
Krešimir Josić́	15
Guillaume Lajoie	14
Michael A. Buice	11
Andrea K. Barreiro	11
Yu Hu	10
Fred Rieke	8
James Trousdale	7
Kevin Lin	7
Brent Doiron	6
Ştefan Mihalaş	6
Nicholas Cain	6
Yuhan Helena Liu	5
Lai-Sang Young	5
Gabriel Koch Ocker	5
Joel Zylberberg	5
Evan L. Thilo	4
Kameron Decker Harris	4
Braden A. W. Brinkman	4
Julijana Gjorgjieva	4
Jaime de la Rocha	3
Joshua H. Goldwyn	3
Adrienne L. Fairhall	3
Sophie Denève	3
Jean‐Philippe Thivierge	3
Michael N. Shadlen	3
Michael A. Schwemmer	3
Stefano Recanatesi	3
Anitha Pasupathy	2
David Leen	2
Yu Hu	2
Tatiana Dashevskiy	2
Aristide Baratin	2
Natasha Cayco Gajic	2
Jianghong Shi	2
Jonathan Cornford	2
Shirui Chen	2
Alfredo J. Garcia	2
Hannah Choi	2
Robert Rosenbaum	2
Jan‐Marino Ramirez	2
R. A. Rosenbaum	1
Linxin Preston Jiang	1
Jean-Philippe Thivierge	1
Rajesh P. N. Rao	1
Joshua Mendoza	1
Jay T. Rubinstein	1
Alex Cayco-Gajic	1
Arna Ghosh	1
Timothy D. Oleskiw	1
Shruti Kulkarni	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Weak pairwise correlations imply strongly correlated network states in a neural population	2006	Elad Schneidman Michael J. Berry Ronen Segev William Bialek	13
+ PDF Chat	Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding	2008	Eric Shea‐Brown Krešimir Josić́ Jaime de la Rocha Brent Doiron	11
+	Spectra of some self-exciting and mutually exciting point processes	1971	Alan G. Hawkes	11
+ PDF Chat	The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes	2014	Yu Hu Joel Zylberberg Eric Shea‐Brown	10
+ PDF Chat	Impact of Network Structure and Cellular Response on Spike Time Correlations	2012	James Trousdale Yu Hu Eric Shea‐Brown Krešimir Josić́	8
+ PDF Chat	Stimulus-Dependent Correlations and Population Codes	2009	Krešimir Josić́ Eric Shea‐Brown Brent Doiron Jaime de la Rocha	8
+ PDF Chat	Local paths to global coherence: Cutting networks down to size	2014	Yu Hu James Trousdale Krešimir Josić́ Eric Shea‐Brown	7
+ PDF Chat	Recurrent interactions in spiking networks with arbitrary topology	2012	Volker Pernice Benjamin Staude Stefano Cardanobile Stefan Rotter	6
+ PDF Chat	Stability of nonlinear Hawkes processes	1996	Pierre Brémaud Laurent Massoulié	6
+ PDF Chat	Motif statistics and spike correlations in neuronal networks	2013	Yu Hu James Trousdale Krešimir Josić́ Eric Shea‐Brown	6
+ PDF Chat	Network Information and Connected Correlations	2003	Elad Schneidman Susanne Still Michael J. Berry William Bialek	6
+ PDF Chat	Time scales of spike-train correlation for neural oscillators with common drive	2010	Andrea K. Barreiro Eric Shea‐Brown Evan L. Thilo	6
+	Point Spectra of Some Mutually Exciting Point Processes	1971	Alan G. Hawkes	5
+ PDF Chat	Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations	2015	Joel Zylberberg Eric Shea‐Brown	5
+ PDF Chat	Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't	2009	Yasser Roudi Sheila Nirenberg Peter E. Latham	5
+	MATCONT	2003	Annick Dhooge W. Govaerts Yuri A. Kuznetsov	5
+ PDF Chat	Entropy formula for random transformations	1988	F. Ledrappier Lai-Sang Young	5
+ PDF Chat	Synchrony of limit-cycle oscillators induced by random external impulses	2005	Hiroya Nakao Kensuke Arai Ken Nagai Yasuhiro Tsubo Yoshiki Kuramoto	5
+	Random dynamical systems	2020	Ludwig Arnold	4
+ PDF Chat	Systematic Fluctuation Expansion for Neural Network Activity Equations	2009	Michael A. Buice Jack D. Cowan Carson C. Chow	4
+ PDF Chat	Balanced Networks of Spiking Neurons with Spatially Dependent Recurrent Connections	2014	Robert Rosenbaum Brent Doiron	4
+ PDF Chat	Searching for Collective Behavior in a Large Network of Sensory Neurons	2014	Gašper Tkačik Olivier Marre Dario Amodei Elad Schneidman William Bialek Michael J. Berry	4
+	Higher Order Correlations within Cortical Layers Dominate Functional Connectivity in Microcolumns	2013	Urs Köster Jascha Sohl‐Dickstein Charles M. Gray Bruno A. Olshausen	4
+	Ergodic Theory of Random Transformations	1986	Yuri Kifer	4
+	Piecewise-smooth Dynamical Systems: Theory and Applications	2007	Mario di Bernardo Chris Budd Alan R. Champneys Piotr Kowalczyk	3
+ PDF Chat	Robustness of the Noise-Induced Phase Synchronization in a General Class of Limit Cycle Oscillators	2004	Jun-nosuke Teramae Dan Tanaka	3
+ PDF Chat	Comparative study of different integrate-and-fire neurons: Spontaneous activity, dynamical response, and stimulus-induced correlation	2009	Rafael D. Vilela Benjamin Lindner	3
+ PDF Chat	An Introduction to the Theory of Point Processes	2007	D. J. Daley D. Vere-Jones	3
+ PDF Chat	RANDOM MATRICES: THE CIRCULAR LAW	2008	Terence Tao Van Vu	3
+	Prediction of Spatiotemporal Patterns of Neural Activity from Pairwise Correlations	2009	Olivier Marre Sami El Boustani Yves Frégnac Alain Destexhe	3
+ PDF Chat	BORDER-COLLISION BIFURCATIONS IN ONE-DIMENSIONAL DISCONTINUOUS MAPS	2003	Parag Jain Soumitro Banerjee	3
+ PDF Chat	Functional Modularity of Background Activities in Normal and Epileptic Brain Networks	2010	Mario Chávez Miguel Valencia Vincent Navarro Vito Latora Jacques Martinerie	3
+ PDF Chat	An Introduction to Polyspectra	1965	David R. Brillinger	3
+ PDF Chat	An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations	2001	Desmond J. Higham	3
+ PDF Chat	Cumulants of Hawkes point processes	2015	Stojan Jovanović John Hertz Stefan Rotter	3
+ PDF Chat	Correlations, fluctuations, and stability of a finite-size network of coupled oscillators	2007	Michael A. Buice Carson C. Chow	3
+ PDF Chat	Dynamical Entropy Production in Spiking Neuron Networks in the Balanced State	2010	Michael Monteforte Fred Wolf	3
+	None	2001	Jiu Ding Z. Wang	3
+	Universality and self-similarity in the bifurcations of circle maps	1985	Jacques Bélair Leon Glass	3
+ PDF Chat	Properties of networks with partially structured and partially random connectivity	2015	Yashar Ahmadian Francesco Fumarola Kenneth D. Miller	3
+	Maximum likelihood identification of neural point process systems	1988	Edward S. Chornoboy Liam Schramm Alan F. Karr	3
+ PDF Chat	Simple, distance-dependent formulation of the Watts-Strogatz model for directed and undirected small-world networks	2014	Hao Song Xiao‐Jing Wang	3
+	Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields	1983	John Guckenheimer Philip Holmes	3
+ PDF Chat	Parameter Space Compression Underlies Emergent Theories and Predictive Models	2013	Benjamin B. Machta Ricky Chachra Mark K. Transtrum James P. Sethna	3
+ PDF Chat	Transition to Chaos in Random Networks with Cell-Type-Specific Connectivity	2015	Johnatan Aljadeff Merav Stern Tatyana O. Sharpee	3
+	Introduction to the modern theory of dynamical systems	1996	Anatole Katok Boris Hasselblatt	3
+ PDF Chat	Learning and inference in a nonequilibrium Ising model with hidden nodes	2013	Benjamin Dunn Yasser Roudi	3
+	Role of correlations in population coding	2011	Peter E. Latham Yasser Roudi	3
+	Ergodic theory of chaos and strange attractors	1985	Jean-Pierre Eckmann David Ruelle	3
+	Reliability of temporal coding on pulse-coupled networks of oscillators	2007	Jun-nosuke Teramae Tomoki Fukai	3