| Year |
Citation |
Score |
| 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 |
1 |
|
| 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 |
0.72 |
|
| 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 |
0.72 |
|
| 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 |
1 |
|
| 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 |
0.72 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2007 |
Trevelyan AJ, Sussillo D, Yuste R. Feedforward inhibition contributes to the control of epileptiform propagation speed. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 3383-7. PMID 17392454 DOI: 10.1523/JNEUROSCI.0145-07.2007 |
1 |
|
| 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 |
1 |
|
| 2004 |
Sussillo D, Kundaje A, Anastassiou D. Spectrogram Analysis of Genomes Eurasip Journal On Applied Signal Processing. 2004: 29-42. DOI: 10.1155/S1110865704310048 |
1 |
|
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