Information-Theoretic Intrinsic Plasticity for Online Unsupervised Learning in Spiking Neural Networks (Journal Article) | NSF PAGES

skip to main content

Citation Details

Information-Theoretic Intrinsic Plasticity for Online Unsupervised Learning in Spiking Neural Networks

Award ID(s):: 1940761

NSF-PAR ID:: 10112251

Author(s) / Creator(s):: Zhang, Wenrui; Li, Peng

Date Published:: 2019-02-05

Journal Name:: Frontiers in Neuroscience

Volume:: 13

ISSN:: 1662-453X

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Journal Article:
https://doi.org/10.3389/fnins.2019.00031