David Sussillo

David Sussillo

Stanford University

H-index: 33

North America-United States

About David Sussillo

David Sussillo, With an exceptional h-index of 33 and a recent h-index of 29 (since 2020), a distinguished researcher at Stanford University, specializes in the field of computational neuroscience, systems neuroscience, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A generic noninvasive neuromotor interface for human-computer interaction

Are task representations gated in macaque prefrontal cortex?

Catalyzing next-generation artificial intelligence through neuroai

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks

Analyzing populations of neural networks via dynamical model embedding

One dimensional approximations of neuronal dynamics reveal computational strategy

A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making

Cell-type-specific population dynamics of diverse reward computations

David Sussillo Information

University

Position

Adjunct Professor @

Citations(all)

8140

Citations(since 2020)

5664

Cited By

4577

hIndex(all)

33

hIndex(since 2020)

29

i10Index(all)

42

i10Index(since 2020)

41

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

David Sussillo Skills & Research Interests

computational neuroscience

systems neuroscience

deep learning

Top articles of David Sussillo

Title

Journal

Author(s)

Publication Date

A generic noninvasive neuromotor interface for human-computer interaction

bioRxiv

Ctrl-labs at Reality Labs

David Sussillo

Patrick Kaifosh

Thomas Reardon

2024

Are task representations gated in macaque prefrontal cortex?

arXiv preprint arXiv:2306.16733

Timo Flesch

Valerio Mante

William Newsome

Andrew Saxe

Christopher Summerfield

...

2023/6/29

Catalyzing next-generation artificial intelligence through neuroai

Anthony Zador

Sean Escola

Blake Richards

Bence Ölveczky

Yoshua Bengio

...

2023/3/22

The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks

Neuron

Brian DePasquale

David Sussillo

LF Abbott

Mark M Churchland

2023/3/1

Analyzing populations of neural networks via dynamical model embedding

arXiv preprint arXiv:2302.14078

Jordan Cotler

Kai Sheng Tai

Felipe Hernández

Blake Elias

David Sussillo

2023/2/27

One dimensional approximations of neuronal dynamics reveal computational strategy

PLOS Computational Biology

Connor Brennan

Adeeti Aggarwal

Rui Pei

David Sussillo

Alex Proekt

2023/1/6

A new theoretical framework jointly explains behavioral and neural variability across subjects performing flexible decision-making

bioRxiv

Marino Pagan

Vincent D Tang

Mikio C Aoi

Jonathan W Pillow

Valerio Mante

...

2022/11/28

Cell-type-specific population dynamics of diverse reward computations

Cell

Emily L Sylwestrak

YoungJu Jo

Sam Vesuna

Xiao Wang

Blake Holcomb

...

2022/9/15

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

bioRxiv

Laura Driscoll

Krishna Shenoy

David Sussillo

2022/8/15

Image segmentation using neural networks

2022/2/22

Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems

Advances in Neural Information Processing Systems

Jimmy Smith

Scott Linderman

David Sussillo

2021/12/6

Reverse engineering learned optimizers reveals known and novel mechanisms

Advances in Neural Information Processing Systems

Niru Maheswaranathan

David Sussillo

Luke Metz

Ruoxi Sun

Jascha Sohl-Dickstein

2021/12/6

Goal-driven recurrent neural network models of the ventral visual stream

bioRxiv

Aran Nayebi

Javier Sagastuy-Brena

Daniel M Bear

Kohitij Kar

Jonas Kubilius

...

2021/2/18

The geometry of integration in text classification RNNs

arXiv preprint arXiv:2010.15114

Kyle Aitken

Vinay V Ramasesh

Ankush Garg

Yuan Cao

David Sussillo

...

2020/10/28

Computation through neural population dynamics

Saurabh Vyas

Matthew D Golub

David Sussillo

Krishna V Shenoy

2020/7/8

How recurrent networks implement contextual processing in sentiment analysis

arXiv preprint arXiv:2004.08013

Niru Maheswaranathan

David Sussillo

2020/4/17

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

Advances in neural information processing systems

Lea Duncker

Laura Driscoll

Krishna V Shenoy

Maneesh Sahani

David Sussillo

2020

See List of Professors in David Sussillo University(Stanford University)

Co-Authors

H-index: 111
L F Abbott

L F Abbott

Columbia University in the City of New York

H-index: 83
Krishna V Shenoy

Krishna V Shenoy

Stanford University

H-index: 83
William T Newsome

William T Newsome

Stanford University

H-index: 62
Surya Ganguli

Surya Ganguli

Stanford University

H-index: 59
James J DiCarlo

James J DiCarlo

Massachusetts Institute of Technology

H-index: 43
Mark Churchland

Mark Churchland

Columbia University in the City of New York

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