David Sussillo

Center for Theoretical Neuroscience|Center for Neurobiology|Columbia University

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Papers28 papers

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The geometry of integration in text classification RNNs

Kyle Aitken, Vinay V. Ramasesh, Ankush Garg, Yuan Cao,David Sussillo,Niru Maheswaranathan

ICLR 2021, (2021)

Bibtex

Organizing recurrent network dynamics by task-computation to enable continual learning

Lea Duncker, Laura N Driscoll,Krishna V Shenoy,Maneesh Sahani,David Sussillo

NIPS 2020, (2020)

EIBibtex

Computation Through Neural Population Dynamics

Saurabh Vyas,Matthew D Golub,David Sussillo,Krishna V Shenoy

Annual review of neuroscience, no. 1 (2020): 249-275

WOSBibtex

How recurrent networks implement contextual processing in sentiment analysis

Maheswaranathan Niru,Sussillo David

ICML, pp.6608-6619, (2020)

Cited by3EIBibtex

Reverse engineering learned optimizers reveals known and novel mechanisms

Niru Maheswaranathan,David Sussillo, Luke Metz, Ruoxi Sun,Jascha Sohl-Dickstein

Bibtex

Universality and individuality in neural dynamics across large populations of recurrent networks

Niru Maheswaranathan,Alex H Williams,Matthew Golub,Surya Ganguli,David Sussillo

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 15603-15615

Cited by9EIWOSBibtex

Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics

Niru Maheswaranathan, Alex Williams,Matthew D. Golub,Surya Ganguli,David Sussillo

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 15670-15679

Cited by6EIWOSBibtex

Recurrent Segmentation for Variable Computational Budgets

Lane McIntosh,David Sussillo,Niru Maheswaranathan,Jonathon Shlens

CVPR Workshops, (2018)

Cited by1EIBibtex

Recurrent Segmentation for Variable Computational Budgets

Lane McIntosh,Niru Maheswaranathan,David Sussillo,Jonathon Shlens

computer vision and pattern recognition, pp.1648-1657, (2018)

Cited by9Bibtex

Inferring single-trial neural population dynamics using sequential auto-encoders

Chethan Pandarinath, Daniel J O'Shea, Jasmine Collins,Rafal Jozefowicz,Sergey D Stavisky,Jonathan C Kao,Eric M Trautmann,Matthew T Kaufman,Stephen I Ryu,Leigh R Hochberg,Jaimie M Henderson,Krishna V Shenoy

Nature methods, no. 10 (2018): 805-815

Cited by136WOSBibtex

Computation through Cortical Dynamics

Laura N Driscoll,Matthew D Golub,David Sussillo

Neuron, no. 5 (2018): 873-875

WOSBibtex

A dataset and architecture for visual reasoning with a working memory

Guangyu Robert Yang, Igor Ganichev,Xiao-Jing Wang,Jonathon Shlens,David Sussillo

ECCV, (2018): 729-745

Cited by2EIBibtex

Task-Driven Convolutional Recurrent Models of the Visual System

Aran Nayebi,Daniel Bear,Jonas Kubilius,Kohitij Kar,Surya Ganguli,David Sussillo,James J. DiCarlo,Daniel L. K. Yamins

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 5290-5301

Cited by46EIBibtex

Corrigendum: Making brain-machine interfaces robust to future neural variability

David Sussillo,Sergey D Stavisky,Jonathan C Kao,Stephen I Ryu,Krishna V Shenoy

Nature communications, (2017): 14490

WOSBibtex

Capacity and Trainability in Recurrent Neural Networks

Jasmine Collins,Jascha Sohl-Dickstein,David Sussillo

ICLR, (2017)

Cited by127EIBibtex

Intelligible Language Modeling with Input Switched Affine Networks

Jakob N. Foerster, Justin Gilmer,Jan Chorowski,Jascha Sohl-Dickstein,David Sussillo

arXiv: Artificial Intelligence, (2017)

Cited by4EIBibtex

Input Switched Affine Networks: An RNN Architecture Designed for Interpretability

Jakob N. Foerster, Justin Gilmer,Jascha Sohl-Dickstein,Jan Chorowski,David Sussillo

ICML, pp.1136-1145, (2017)

Cited by34EIBibtex

The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type

Matthew T Kaufman, Jeffrey S Seely,David Sussillo,Stephen I Ryu,Krishna V Shenoy,Mark M Churchland

ENEURO, no. 4 (2016)

WOSBibtex

Making brain-machine interfaces robust to future neural variability

David Sussillo,Sergey D Stavisky,Jonathan C Kao,Stephen I Ryu,Krishna V Shenoy

Nature communications, (2016): 13749

Cited by32WOSBibtex

LFADS - Latent Factor Analysis via Dynamical Systems

David Sussillo,Rafal Józefowicz,L. F. Abbott,Chethan Pandarinath

arXiv: Learning, (2016)

Cited by3EIBibtex

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Papers28 papers

David Sussillo