David Sussillo, PhD
Affiliations: | Electrical Engineering, Neurosciences | Stanford University, Palo Alto, CA |
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"David Sussillo"Mean distance: 14.7 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Larry F. Abbott | grad student | Columbia | |
| Krishna V. Shenoy | post-doc | 2010- | Stanford |
Children
Sign in to add trainee| YoungJu Jo | grad student | 2018- | Stanford |
| Matthew D. Golub | post-doc | 2017-2022 | Stanford |
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Publications
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| Pagan M, Tang VD, Aoi MC, et al. (2024) Individual variability of neural computations underlying flexible decisions. Nature |
| Driscoll LN, Shenoy K, Sussillo D. (2024) Flexible multitask computation in recurrent networks utilizes shared dynamical motifs. Nature Neuroscience. 27: 1349-1363 |
| 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 |