A VIEW OF NEURAL NETWORKS AS DYNAMICAL SYSTEMS

被引：21
|
作者：
Cessac, B. [1 ,2 ]
机构：
[1] Univ Nice Sophia Antipolis, CNRS, Lab JA Dieudonne, UMR 6621, Nice, France
[2] INRIA, EPI NeuroMathComp, F-06902 Sophia Antipolis, France
来源：
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2010年 / 20卷 / 06期
关键词：
Neural networks; dynamical systems; synaptic plasticity; linear response; chaos; LONG-TERM POTENTIATION; MEAN-FIELD THEORY; FIRE NEURONS; RECURRENT NETWORKS; SPIKING NEURONS; CHAOS; MODEL; SYNCHRONIZATION; TRANSMISSION; BIFURCATION;
D O I：
10.1142/S0218127410026721
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We present some recent investigations resulting from the modeling of neural networks as dynamical systems, and deal with the following questions, adressed in the context of specific models. (i) Characterizing the collective dynamics; (ii) Statistical analysis of spike trains; (iii) Interplay between dynamics and network structure; (iv) Effects of synaptic plasticity.
引用
收藏
页码：1585 / 1629
页数：45
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