David G. Clark

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All published works
Action Title Year Authors
+ PDF Chat Connectivity structure and dynamics of nonlinear recurrent neural networks 2024 David G. Clark
Owen Marschall
Alexander van Meegen
Ashok Litwin-Kumar
+ PDF Chat Theory of Coupled Neuronal-Synaptic Dynamics 2024 David G. Clark
L. F. Abbott
+ PDF Chat Structure of activity in multiregion recurrent neural networks. 2024 David G. Clark
Manuel Beirán
+ PDF Chat Dimension of Activity in Random Neural Networks 2023 David G. Clark
L. F. Abbott
Ashok Litwin-Kumar
+ Theory of coupled neuronal-synaptic dynamics 2023 David G. Clark
L. F. Abbott
+ Dimension of activity in random neural networks 2022 David G. Clark
L. F. Abbott
Ashok Litwin-Kumar
+ Credit Assignment Through Broadcasting a Global Error Vector 2021 David G. Clark
Larry Abbott
SueYeon Chung
+ Credit Assignment Through Broadcasting a Global Error Vector 2021 David G. Clark
L. F. Abbott
SueYeon Chung
+ Credit Assignment Through Broadcasting a Global Error Vector 2021 David G. Clark
L. F. Abbott
SueYeon Chung
+ Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis 2019 David G. Clark
Jesse A. Livezey
Kristofer E. Bouchard
+ Optimizing Differential Identifiability Improves Connectome Predictive Modeling of Cognitive Deficits in Alzheimer's Disease 2019 Diana Otero Svaldi
Joaquín Goñi
Kausar Abbas
Enrico Amico
David G. Clark
Charanya Muralidharan
Mario Džemidžić
John D. West
Shannon L. Risacher
Andrew J. Saykin
+ Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis 2019 David G. Clark
Jesse A. Livezey
Kristofer E. Bouchard
+ Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis 2019 David G. Clark
Jesse A. Livezey
Kristofer E. Bouchard
+ Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces 2018 David G. Clark
Jesse A. Livezey
Edward F. Chang
Kristofer E. Bouchard
+ Visualized flow : fluid motion in basic and engineering situations revealed by flow visualization 1988 泰喜 中山
日本機械学会
W. A. Woods
David G. Clark
+ Understanding canonical correlation analysis 1975 David G. Clark
+ Instructional Program Budgeting in Higher Education. 1972 David G. Clark
Robert A. Huff
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat On simplicity and complexity in the brave new world of large-scale neuroscience 2015 Peiran Gao
Surya Ganguli
3
+ PDF Chat Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks 2018 Daniel Martí
Nicolas Brunel
Srdjan Ostojic
2
+ PDF Chat Theory of Gating in Recurrent Neural Networks 2022 Kamesh Krishnamurthy
Tankut Can
David J. Schwab
2
+ PDF Chat Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks 2019 Manuel Beirán
Srdjan Ostojic
2
+ PDF Chat Numerical implementation of dynamical mean field theory for disordered systems: application to the Lotka–Volterra model of ecosystems 2019 Félix de Roy
Giulio Biroli
Gregory Bunin
Chiara Cammarota
2
+ PDF Chat Transition to Chaos in Random Neuronal Networks 2015 Jonathan Kadmon
Haim Sompolinsky
2
+ PDF Chat How single neuron properties shape chaotic dynamics and signal transmission in random neural networks 2019 Samuel P. Muscinelli
Wulfram Gerstner
Tilo Schwalger
2
+ Circular Law 1985 Vyacheslav L. Girko
2
+ Linking Connectivity, Dynamics, and Computations in Low-Rank Recurrent Neural Networks 2018 Francesca Mastrogiuseppe
Srdjan Ostojic
2
+ PDF Chat Stimulus-dependent suppression of chaos in recurrent neural networks 2010 Kanaka Rajan
L. F. Abbott
Haim Sompolinsky
2
+ PDF Chat Dynamics of random neural networks with bistable units 2014 Merav Stern
Haim Sompolinsky
L. F. Abbott
2
+ PDF Chat Algorithm 778: L-BFGS-B 1997 Ciyou Zhu
Richard H. Byrd
Peihuang Lu
Jorge Nocedal
1
+ Character-Aware Neural Language Models 2015 Yoon Kim
Yacine Jernite
David Sontag
Alexander M. Rush
1
+ Self-regulation mechanism of an ecosystem in a non-Gaussian fluctuation regime 1996 S. Ciuchi
F. de Pasquale
Bernardo Spagnolo
1
+ PDF Chat Properties of networks with partially structured and partially random connectivity 2015 Yashar Ahmadian
Francesco Fumarola
Kenneth D. Miller
1
+ PDF Chat Transition to Chaos in Random Networks with Cell-Type-Specific Connectivity 2015 Johnatan Aljadeff
Merav Stern
Tatyana O. Sharpee
1
+ How Important is Weight Symmetry in Backpropagation? 2015 Qianli Liao
Joel Z. Leibo
Tomaso Poggio
1
+ An Introduction to Kolmogorov Complexity and Its Applications 2019 Ming Li
Paul Vitányi
1
+ PDF Chat full-FORCE: A target-based method for training recurrent networks 2018 Brian DePasquale
Christopher J. Cueva
Kanaka Rajan
G. Sean Escola
L. F. Abbott
1
+ PDF Chat Nonequilibrium dynamical mean-field theory and its applications 2014 Hideo Aoki
Naoto Tsuji
Martin Eckstein
Marcus Kollar
Takashi Oka
Philipp Werner
1
+ PDF Chat Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices 2005 Jinho Baik
Gérard Ben Arous
Sandrine Péché
1
+ PDF Chat Estimating mutual information 2004 Alexander Kraskov
Harald Stögbauer
Peter Grassberger
1
+ PDF Chat A unified view on weakly correlated recurrent networks 2013 Dmytro Grytskyy
Tom Tetzlaff
Markus Diesmann
Moritz Helias
1
+ PDF Chat Predictability, Complexity, and Learning 2001 William Bialek
Ilya Nemenman
Naftali Tishby
1
+ Regression Shrinkage and Selection Via the Lasso 1996 Robert Tibshirani
1
+ Intraclass correlations: Uses in assessing rater reliability. 1979 Patrick E. Shrout
Joseph L. Fleiss
1
+ PDF Chat CUR matrix decompositions for improved data analysis 2009 Michael W. Mahoney
Petros Drineas
1
+ Dependence of Critical Properties on Dimensionality of Spins 1968 H. Eugene Stanley
1
+ PDF Chat Decomposition using maximum autocorrelation factors 2002 Rasmus Larsen
1
+ Information Bottleneck for Gaussian Variables 2005 Gal Chechik
Amir Globerson
Naftali Tishby
Yair Weiss
1
+ PDF Chat Topological and Dynamical Complexity of Random Neural Networks 2013 Gilles Wainrib
Jonathan Touboul
1
+ The information bottleneck method 2000 Naftali Tishby
Fernando C. N. Pereira
William Bialek
1
+ PDF Chat Least-dependent-component analysis based on mutual information 2004 Harald Stögbauer
Alexander Kraskov
Sergey A. Astakhov
Peter Grassberger
1
+ PDF Chat Mapping the functional connectome traits of levels of consciousness 2017 Enrico Amico
Daniele Marinazzo
Carol Di Perri
Lizette Heine
Jitka Annen
Charlotte Martial
Mario Džemidžić
Muriëlle Kirsch
Vincent Bonhomme
Steven Laureys
1
+ PDF Chat Convolutional networks for fast, energy-efficient neuromorphic computing 2016 Steven K. Esser
Paul Merolla
John V. Arthur
Andrew Cassidy
Rathinakumar Appuswamy
Alexander Andreopoulos
David Van Den Berg
Jeffrey L. McKinstry
Timothy Melano
Davis Barch
1
+ PDF Chat RANDOM MATRICES: THE CIRCULAR LAW 2008 Terence Tao
Van Vu
1
+ PDF Chat Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation 2017 Benjamin Scellier
Yoshua Bengio
1
+ Towards deep learning with segregated dendrites 2017 Jordan Guerguiev
Timothy Lillicrap
Blake A. Richards
1
+ Training Spiking Deep Networks for Neuromorphic Hardware 2016 Eric Hunsberger
Chris Eliasmith
1
+ PDF Chat Nearly maximally predictive features and their dimensions 2017 Sarah Marzen
James P. Crutchfield
1
+ A Survey of Neuromorphic Computing and Neural Networks in Hardware. 2017 Catherine D. Schuman
Thomas E. Potok
Robert M. Patton
J.D. Birdwell
Mark E. Dean
Garrett S. Rose
James S. Plank
1
+ PDF Chat Self-Tuned Critical Anti-Hebbian Networks 2009 Marcelo O. Magnasco
Oreste Piro
Guillermo Cecchi
1
+ PDF Chat LIII. <i>On lines and planes of closest fit to systems of points in space</i> 1901 Karl Pearson
1
+ PDF Chat Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification 2017 Yanis Bahroun
Andrea Soltoggio
1
+ PDF Chat Second type of criticality in the brain uncovers rich multiple-neuron dynamics 2019 David Dahmen
Sonja Grün
Markus Diesmann
Moritz Helias
1
+ PDF Chat The quest for identifiability in human functional connectomes 2018 Enrico Amico
Joaquín Goñi
1
+ Information Theoretic Co-Training 2018 David McAllester
1
+ Neural Tangent Kernel: Convergence and Generalization in Neural Networks 2018 Arthur Paul Jacot
Franck Gabriel
Clément Hongler
1
+ PDF Chat Unsupervised learning by competing hidden units 2019 Dmitry Krotov
J. J. Hopfield
1
+ PDF Chat Graph-based predictable feature analysis 2017 Björn Weghenkel
Asja Fischer
Laurenz Wiskott
1