Emergent dynamical properties of the BCM learning rule

DOI10.1186/s13408-017-0044-6zbMath1405.92053OpenAlexW2589552551WikidataQ41952767 ScholiaQ41952767MaRDI QIDQ1710238

Paul W. Munro, G. Bard Ermentrout, Lawrence C. Udeigwe

Publication date: 16 January 2019

Published in: The Journal of Mathematical Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13408-017-0044-6

zbMATH Keywords

chaososcillationlearning ruleBCM

Mathematics Subject Classification ID

Neural biology (92C20) Bifurcation theory for ordinary differential equations (34C23) Complex behavior and chaotic systems of ordinary differential equations (34C28)

Related Items (3)

Slowdown of BCM plasticity with many synapses ⋮ Weight dependence in BCM leads to adjustable synaptic competition ⋮ Chaos in homeostatically regulated neural systems

Cites Work

• Unnamed Item
• A theory for the acquisition and loss of neuron specificity in visual cortex
• A model for generalization and specification by single neurons
• Mathematical foundations of neuroscience
• Solutions of the BCM learning rule in a network of lateral interacting nonlinear neurons
• Relating STDP to BCM

This page was built for publication: Emergent dynamical properties of the BCM learning rule