E-I Balance Emerges Naturally From Continuous Hebbian Learning in Autonomous Neural Networks

Scientific Reports - United Kingdom
doi 10.1038/s41598-018-27099-5
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

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

Frontiers in Neuroscience
Neuroscience
2017English

Hebbian Cross-Correlation Learning Emerges as Spike Timing Dependent Plasticity

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2011English

Biologically-Inspired Spiking Neural Networks With Hebbian Learning for Vision Processing

2008English

Realtime-Learning on an Autonomous Mobile Robot With Neural Networks

English

Predictive Hebbian Learning

1995English

Stable Hebbian Learning From Spike Timing-Dependent Plasticity

Journal of Neuroscience
Neuroscience
2000English

Self-Optimization in Continuous-Time Recurrent Neural Networks

Frontiers Robotics AI
Computer Science ApplicationsArtificial Intelligence
2018English

Neural Development of Binaural Tuning Through Hebbian Learning Predicts Frequency-Dependent Best Delays

Journal of Neuroscience
Neuroscience
2011English

Dynamic Hebbian Learning in Adaptive Frequency Oscillators

Physica D: Nonlinear Phenomena
Nonlinear PhysicsApplied MathematicsMathematical PhysicsCondensed Matter PhysicsStatistical
2006English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy