PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Coding and learning of behavioral sequences
Ofer Melamed, Wulfram Gerstner, Wolfgang Maass, Misha Tsodyks and Henry Markram
Trends in Neurosciences Volume 27, Number 1, pp. 11-14, 2004.

Abstract

A major challenge to understanding behavior is how the nervous system allows the learning of behavioral sequences that may occur over arbitrary time scales, ranging from milliseconds up to seconds using a fixed millisecond learning rule. In this article, we describe some potential solutions, and then, we focus on a study by Mehta M.R. et al, which may contribute towards solving this puzzle. They discovered that an experience-dependent asymmetric shape of hippocampal receptive fields combined with oscillatory inhibition can serve to map behavioral sequences on a fixed time scale.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1262
Deposited By:Wolfgang Maass
Deposited On:28 November 2005