A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity

DOI10.1162/NECO_a_00512zbMath1415.92017arXiv1206.4812WikidataQ44739266 ScholiaQ44739266MaRDI QIDQ5378278

Gilles Wainrib, Mathieu N. Galtier

Publication date: 12 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1206.4812

zbMATH Keywords

predictionrecurrent neural networksspike-timing-dependent plasticityhomeostatic plasticity

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

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