Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409116 | Neurocomputing | 2008 | 7 Pages |
Abstract
This paper presents a reward-related synaptic modification method of a spiking neuron model. The proposed algorithm determines which synapse is eligible for reinforcement by a reward signal. According to the proposed algorithm, a synapse is determined to be eligible when a presynaptic spike occurs shortly before a postsynaptic spike. A pre- and postsynaptic spike correlator (PPSC) is defined and used to determine synaptic eligibility, and to modify synaptic efficacy in cooperation with a reward signal. A simulation is conducted to demonstrate how the interaction between the PPSC and the reward signal influences synaptic plasticity.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kyoobin Lee, Dong-Soo Kwon,