Interpreting learning in biological neural networks as zero-order
optimization method

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Interpreting learning in biological neural networks as zero-order optimization method

27 January 2023

Johannes Schmidt-Hieber

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Papers citing "Interpreting learning in biological neural networks as zero-order optimization method"

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Title
Predictive Coding: a Theoretical and Experimental Review Beren Millidge A. Seth Christopher L. Buckley AI4CE 49 132 0 27 Jul 2021
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 72 235 0 11 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs Beren Millidge Alexander Tschantz Christopher L. Buckley 84 122 0 07 Jun 2020
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 89 244 0 12 Jul 2018
Direct Feedback Alignment Provides Learning in Deep Neural Networks Arild Nøkland ODL 97 459 0 06 Sep 2016
How Important is Weight Symmetry in Backpropagation? Q. Liao Joel Z Leibo T. Poggio 73 170 0 17 Oct 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,377 0 30 Apr 2014
Optimal rates for zero-order convex optimization: the power of two function evaluations John C. Duchi Michael I. Jordan Martin J. Wainwright Andre Wibisono 82 489 0 07 Dec 2013