Amanote Research

Amanote Research

  • Register
  • Sign In

Oscillation, Conduction Delays, and Learning Cooperate to Establish Neural Competition in Recurrent Networks

PLoS ONE- United States

doi 10.1371/journal.pone.0146044

Full Text

Abstract

Available in

Categories

Multidisciplinary

Date

February 3, 2016

Authors

Hideyuki KatoTohru Ikeguchi

Publisher

Public Library of Science (PLoS)


Related search

Learning for Recurrent Neural Networks

Journal of Japan Society for Fuzzy Theory and Systems
1995English

Recurrent Neural Networks

English

Plasticity and Stability in Recurrent Neural Networks

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2011English

Constructive Learning of Recurrent Neural Networks: Limitations of Recurrent Cascade Correlation and a Simple Solution

IEEE Transactions on Neural Networks
1995English

Learning to Generate Sequences With Combination of Hebbian and Non-Hebbian Plasticity in Recurrent Spiking Neural Networks

Frontiers in Neuroscience
Neuroscience
2017English

Temporal-Kernel Recurrent Neural Networks

Neural Networks
Artificial IntelligenceCognitive Neuroscience
2010Italian

Applications of Recurrent Neural Networks to Optimization Problems

2008English

Locally Recurrent Neural Networks and Their Applications

English

Oscillation Induced Propagation of Synchrony in Structured Neural Networks

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2013English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy