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Jordan Guerguiev
Jordan Guerguiev
University of Toronto Scarborough
Zweryfikowany adres z mail.utoronto.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Towards deep learning with segregated dendrites
J Guerguiev, TP Lillicrap, BA Richards
Elife 6, e22901, 2017
4452017
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
2552021
Spike-based causal inference for weight alignment
J Guerguiev, K Kording, B Richards
International Conference on Learning Representations, 2019
252019
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
212021
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
Irrelevance by inhibition: Learning, computation, and implications for schizophrenia
N Insel, J Guerguiev, BA Richards
PLoS Computational Biology 14 (8), e1006315, 2018
42018
Biologically feasible deep learning with segregated dendrites
J Guergiuev, TP Lillicrap, BA Richards
arXiv preprint arXiv:1610.00161, 2016
42016
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
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