2003/08/31 by Hiroya Nakao
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Chaos control and synchronization #Neural Networks Stability and Synchronization #cond-mat.dis-nn #nlin.AO #q-bio.NC #stochastic dynamics and bifurcation
paper · pdf · doi:10.1143/jpsj.75.034001
published as J. Phys. Soc. Jpn. 75 (2006) 034001 · 7 pages, 9 figures, revised version, new figures added, to appear in JPSJ Vol 75, No. 3
arxiv created 2006/02/06 · openalex publication_date 2006/03/14 · arxiv updated 2009/12/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
A system of globally coupled phase oscillators subject to an external input is considered as a simple model of neural circuits coding external stimulus. The information coding efficiency of the system in its asynchronous state is quantified using Fisher information. The effect of coupling and noise on the information coding efficiency in the stationary state is analyzed. The relaxation process of the system after the presentation of an external input is also studied. It is found that the information coding efficiency exhibits a large transient increase before the system relaxes to the final stationary state.