Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons

Part of Advances in Neural Information Processing Systems 17 (NIPS 2004)

Bibtex Metadata Paper

Authors

Jochen Triesch

Abstract

This paper explores the computational consequences of simultaneous in- trinsic and synaptic plasticity in individual model neurons. It proposes a new intrinsic plasticity mechanism for a continuous activation model neuron based on low order moments of the neuron's firing rate distribu- tion. The goal of the intrinsic plasticity mechanism is to enforce a sparse distribution of the neuron's activity level. In conjunction with Hebbian learning at the neuron's synapses, the neuron is shown to discover sparse directions in the input.