Web: http://arxiv.org/abs/2204.07249

June 23, 2022, 1:11 a.m. | Alexander Meulemans, Matilde Tristany Farinha, Maria R. Cervera, João Sacramento, Benjamin F. Grewe

cs.LG updates on arXiv.org arxiv.org

The success of deep learning ignited interest in whether the brain learns
hierarchical representations using gradient-based learning. However, current
biologically plausible methods for gradient-based credit assignment in deep
neural networks need infinitesimally small feedback signals, which is
problematic in biologically realistic noisy environments and at odds with
experimental evidence in neuroscience showing that top-down feedback can
significantly influence neural activity. Building upon deep feedback control
(DFC), a recently proposed credit assignment method, we combine strong feedback
influences on neural activity …

arxiv credit feedback

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY