Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction

DOI10.1162/NECO_A_01230zbMATH Open1429.92029OpenAlexW2974163011WikidataQ90124191 ScholiaQ90124191MaRDI QIDQ5214398

Marcelo Matheus Gauy, Angelika Steger, Xun Zou, Felix Weissenberger

Publication date: 7 February 2020

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

Full work available at URL: https://doi.org/10.1162/neco_a_01230

zbMATH Keywords

inhibitory cellsDale's lawmutual inhibition of neuronsnonlinear inhibitory synaptic interaction

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• New combinatorial designs and their applications to group testing
• On \(r\)-cover-free families
• Computation with Spikes in a Winner-Take-All Network
• Nonrandom binary superimposed codes
• Learning representations by back-propagating errors
• A logical calculus of the ideas immanent in nervous activity
• Concentration of Measure for the Analysis of Randomized Algorithms

Related Items (1)

Unnamed Item

Uses Software

• MNIST
• TensorFlow

This page was built for publication: Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction