Jordan Guerguiev
Jordan Guerguiev
University of Toronto Scarborough
Bestätigte E-Mail-Adresse bei mail.utoronto.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Towards deep learning with segregated dendrites
J Guerguiev, TP Lillicrap, BA Richards
Elife 6, e22901, 2017
2312017
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
A Payeur, J Guerguiev, F Zenke, BA Richards, R Naud
Nature neuroscience, 1-10, 2021
292021
Spike-based causal inference for weight alignment
J Guerguiev, KP Kording, BA Richards
arXiv preprint arXiv:1910.01689, 2019
112019
Deep learning with segregated dendrites
J Guergiuev, TP Lillicrap, BA Richards
arXiv preprint arXiv:1610.00161, 2016
82016
Biologically feasible deep learning with segregated dendrites
J Guergiuev, TP Lillicrap, BA Richards
arXiv preprint arXiv:1610.00161, 2016
72016
Irrelevance by inhibition: Learning, computation, and implications for schizophrenia
N Insel, J Guerguiev, BA Richards
PLoS computational biology 14 (8), e1006315, 2018
22018
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
2021
Towards Biologically Plausible Gradient Descent
J Guerguiev
2021
Deep learning with segregated dendrites
J Guerguiev, TP Lillicrap, BA Richards
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Artikel 1–9