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David Sussillo, PhD - Publications

Affiliations: 
Electrical Engineering, Neurosciences Stanford University, Palo Alto, CA 
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Sylwestrak EL, Jo Y, Vesuna S, Wang X, Holcomb B, Tien RH, Kim DK, Fenno L, Ramakrishnan C, Allen WE, Chen R, Shenoy KV, Sussillo D, Deisseroth K. Cell-type-specific population dynamics of diverse reward computations. Cell. 185: 3568-3587.e27. PMID 36113428 DOI: 10.1016/j.cell.2022.08.019  0.788
2022 Nayebi A, Sagastuy-Brena J, Bear DM, Kar K, Kubilius J, Ganguli S, Sussillo D, DiCarlo JJ, Yamins DLK. 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. PMID 35798321 DOI: 10.1162/neco_a_01506  0.382
2020 Vyas S, Golub MD, Sussillo D, Shenoy KV. Computation Through Neural Population Dynamics. Annual Review of Neuroscience. 43: 249-275. PMID 32640928 DOI: 10.1146/Annurev-Neuro-092619-094115  0.784
2019 Maheswaranathan N, Williams AH, Golub MD, Ganguli S, Sussillo D. Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics. Advances in Neural Information Processing Systems. 32: 15696-15705. PMID 32782423  0.799
2019 Maheswaranathan N, Williams AH, Golub MD, Ganguli S, Sussillo D. Universality and individuality in neural dynamics across large populations of recurrent networks. Advances in Neural Information Processing Systems. 2019: 15629-15641. PMID 32782422  0.818
2019 Musall S, Urai AE, Sussillo D, Churchland AK. Harnessing behavioral diversity to understand neural computations for cognition. Current Opinion in Neurobiology. 58: 229-238. PMID 31670073 DOI: 10.1016/J.Conb.2019.09.011  0.463
2018 Pandarinath C, O'Shea DJ, Collins J, Jozefowicz R, Stavisky SD, Kao JC, Trautmann EM, Kaufman MT, Ryu SI, Hochberg LR, Henderson JM, Shenoy KV, Abbott LF, Sussillo D. Inferring single-trial neural population dynamics using sequential auto-encoders. Nature Methods. PMID 30224673 DOI: 10.1038/S41592-018-0109-9  0.684
2018 Driscoll LN, Golub MD, Sussillo D. Computation through Cortical Dynamics. Neuron. 98: 873-875. PMID 29879388 DOI: 10.1016/J.Neuron.2018.05.029  0.785
2018 Golub M, Sussillo D. FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks Journal of Open Source Software. 3: 1003. DOI: 10.21105/Joss.01003  0.773
2017 Sussillo D, Stavisky SD, Kao JC, Ryu SI, Shenoy KV. Corrigendum: Making brain-machine interfaces robust to future neural variability. Nature Communications. 8: 14490. PMID 28106034 DOI: 10.1038/Ncomms14490  0.755
2016 Sussillo D, Stavisky SD, Kao JC, Ryu SI, Shenoy KV. Making brain-machine interfaces robust to future neural variability. Nature Communications. 7: 13749. PMID 27958268 DOI: 10.1038/Ncomms13749  0.785
2016 Kaufman MT, Seely JS, Sussillo D, Ryu SI, Shenoy KV, Churchland MM. The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type. Eneuro. 3. PMID 27761519 DOI: 10.1523/ENEURO.0085-16.2016  0.754
2015 Sussillo D, Churchland MM, Kaufman MT, Shenoy KV. A neural network that finds a naturalistic solution for the production of muscle activity. Nature Neuroscience. 18: 1025-33. PMID 26075643 DOI: 10.1038/Nn.4042  0.794
2014 Sussillo D. Neural circuits as computational dynamical systems. Current Opinion in Neurobiology. 25: 156-63. PMID 24509098 DOI: 10.1016/J.Conb.2014.01.008  0.536
2014 Kao JC, Stavisky SD, Sussillo D, Nuyujukian P, Shenoy KV. Information systems opportunities in brain-machine interface decoders Proceedings of the Ieee. 102: 666-682. DOI: 10.1109/JPROC.2014.2307357  0.74
2013 Mante V, Sussillo D, Shenoy KV, Newsome WT. Context-dependent computation by recurrent dynamics in prefrontal cortex. Nature. 503: 78-84. PMID 24201281 DOI: 10.1038/Nature12742  0.79
2013 Barak O, Sussillo D, Romo R, Tsodyks M, Abbott LF. From fixed points to chaos: three models of delayed discrimination. Progress in Neurobiology. 103: 214-22. PMID 23438479 DOI: 10.1016/J.Pneurobio.2013.02.002  0.735
2013 Sussillo D, Barak O. Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks. Neural Computation. 25: 626-49. PMID 23272922 DOI: 10.1162/Neco_A_00409  0.693
2012 Sussillo D, Abbott LF. Transferring learning from external to internal weights in echo-state networks with sparse connectivity. Plos One. 7: e37372. PMID 22655041 DOI: 10.1371/Journal.Pone.0037372  0.62
2012 Sussillo D, Nuyujukian P, Fan JM, Kao JC, Stavisky SD, Ryu S, Shenoy K. A recurrent neural network for closed-loop intracortical brain-machine interface decoders. Journal of Neural Engineering. 9: 026027. PMID 22427488 DOI: 10.1088/1741-2560/9/2/026027  0.753
2009 Sussillo D, Abbott LF. Generating coherent patterns of activity from chaotic neural networks. Neuron. 63: 544-57. PMID 19709635 DOI: 10.1016/J.Neuron.2009.07.018  0.64
2007 Sussillo D, Toyoizumi T, Maass W. Self-tuning of neural circuits through short-term synaptic plasticity. Journal of Neurophysiology. 97: 4079-95. PMID 17409166 DOI: 10.1152/Jn.01357.2006  0.654
2006 Trevelyan AJ, Sussillo D, Watson BO, Yuste R. Modular propagation of epileptiform activity: evidence for an inhibitory veto in neocortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 12447-55. PMID 17135406 DOI: 10.1523/Jneurosci.2787-06.2006  0.334
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