A self-organizing map with homeostatic synaptic scaling

Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to unconstrained weight growth. A newly discovered property of cortical neurons is that they try to maintain a preset average firing rate [G.G. Turrigiano, S.B. Nelson, Homeostatic plasticity in the developing nervous system, Nat. Rev. Neurosci. 5 (2004) 97

• Type: Journal
• Year: 2006
• Where: IJON
• Authors: Thomas J. Sullivan, Virginia R. de Sa
• Keywords: IJON 2006, Learning Rule, Popular Learning Rule, Unconstrained Weight Growth