Towards deep learning with segregated dendrites J Guerguiev, TP Lillicrap, BA Richards Elife 6, e22901, 2017 | 428 | 2017 |
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits A Payeur, J Guerguiev, F Zenke, BA Richards, R Naud Nature neuroscience 24 (7), 1010-1019, 2021 | 236 | 2021 |
Spike-based causal inference for weight alignment J Guerguiev, K Kording, B Richards International Conference on Learning Representations, 2019 | 25 | 2019 |
BonZeb: Open-source, modular software tools for high-resolution zebrafish tracking and analysis NC Guilbeault, J Guerguiev, M Martin, I Tate, TR Thiele Scientific Reports 11 (1), 8148, 2021 | 18 | 2021 |
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits. bioRxiv (2020) A Payeur, J Guerguiev, F Zenke, B Richards, R Naud URL https://www. biorxiv. org/content/early/2020/03/31/2020.03 30, 0 | 5 | |
Biologically feasible deep learning with segregated dendrites J Guergiuev, TP Lillicrap, BA Richards arXiv preprint arXiv:1610.00161, 2016 | 4 | 2016 |
Irrelevance by inhibition: Learning, computation, and implications for schizophrenia N Insel, J Guerguiev, BA Richards PLoS Computational Biology 14 (8), e1006315, 2018 | 3 | 2018 |
Author Correction: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits A Payeur, J Guerguiev, F Zenke, BA Richards, R Naud Nature Neuroscience 24 (12), 1780-1780, 2021 | | 2021 |
Towards biologically plausible gradient descent J Guerguiev University of Toronto (Canada), 2021 | | 2021 |
Deep learning with segregated dendrites J Guerguiev, TP Lillicrap, BA Richards | | |