David Sussillo, PhD

Electrical Engineering, Neurosciences Stanford University, Palo Alto, CA 
"David Sussillo"
Mean distance: 14.7 (cluster 17)


Sign in to add trainee
YoungJu Jo grad student 2018- Stanford
Matthew D. Golub post-doc 2017-2022 Stanford


Sign in to add collaborator
Chethan Pandarinath collaborator 2015- Stanford
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Zador A, Escola S, Richards B, et al. (2023) Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597
DePasquale B, Sussillo D, Abbott LF, et al. (2023) The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks. Neuron
Sylwestrak EL, Jo Y, Vesuna S, et al. (2022) Cell-type-specific population dynamics of diverse reward computations. Cell. 185: 3568-3587.e27
Nayebi A, Sagastuy-Brena J, Bear DM, et al. (2022) Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off between Task Performance and Network Size during Core Object Recognition. Neural Computation. 1-25
Vyas S, Golub MD, Sussillo D, et al. (2020) Computation Through Neural Population Dynamics. Annual Review of Neuroscience. 43: 249-275
Maheswaranathan N, Williams AH, Golub MD, et al. (2019) Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. Advances in Neural Information Processing Systems. 32: 15696-15705
Maheswaranathan N, Williams AH, Golub MD, et al. (2019) Universality and individuality in neural dynamics across large populations of recurrent networks. Advances in Neural Information Processing Systems. 2019: 15629-15641
Musall S, Urai AE, Sussillo D, et al. (2019) Harnessing behavioral diversity to understand neural computations for cognition. Current Opinion in Neurobiology. 58: 229-238
Pandarinath C, O'Shea DJ, Collins J, et al. (2018) Inferring single-trial neural population dynamics using sequential auto-encoders. Nature Methods
Driscoll LN, Golub MD, Sussillo D. (2018) Computation through Cortical Dynamics. Neuron. 98: 873-875
See more...