| Towards deep learning with segregated dendrites J Guerguiev, TP Lillicrap, BA Richards ELife 6, e22901, 2017 | 283 | 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 | 74 | 2021 |
| Spike-based causal inference for weight alignment J Guerguiev, KP Kording, BA Richards arXiv preprint arXiv:1910.01689, 2019 | 17 | 2019 |
| Deep learning with segregated dendrites J Guergiuev, TP Lillicrap, BA Richards arXiv preprint arXiv:1610.00161, 2016 | 9 | 2016 |
| Biologically feasible deep learning with segregated dendrites J Guergiuev, TP Lillicrap, BA Richards arXiv preprint arXiv:1610.00161, 2016 | 4 | 2016 |
| 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), 1-21, 2021 | 3 | 2021 |
| Irrelevance by inhibition: Learning, computation, and implications for schizophrenia N Insel, J Guerguiev, BA Richards PLoS computational biology 14 (8), e1006315, 2018 | 2 | 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 | | |
Blake RichardsAssistant Professor, McGill UniversityBestätigte E-Mail-Adresse bei mcgill.ca
