From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes

DOI10.1162/neco_a_01047zbMath1472.92036OpenAlexW2771320601WikidataQ45932475 ScholiaQ45932475MaRDI QIDQ5157148

Melika Payvand, Luke Theogarajan

Publication date: 12 October 2021

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

Full work available at URL: https://doi.org/10.1162/neco_a_01047

zbMATH Keywords

winner-takes-allnetworks of spiking neuronsneural coding algorithmswinners-share-all

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

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• Converging evidence for a simplified biophysical model of synaptic plasticity

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