Name
Title | ||
|---|---|---|
Building Blocks of Self-Sustained Activity in a Simple Deterministic Model of Excitable Neural Networks. |
Abstract | ||
|---|---|---|
Understanding the interplay of topology and dynamics of excitable neural networks is one of the major challenges in computational neuroscience. Here we employ a simple deterministic excitable model to explore how network-wide activation patterns are shaped by network architecture. Our observables are co-activation patterns, together with the average activity of the network and the periodicities in the excitation density. Our main results are: (1) the dependence of the correlation between the adjacency matrix and the instantaneous (zero time delay) co-activation matrix on global network features (clustering, modularity, scale-free degree distribution), (2) a correlation between the average activity and the amount of small cycles in the graph, and (3) a microscopic understanding of the contributions by 3-node and 4-node cycles to sustained activity. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.3389/fncom.2012.00050 | FRONTIERS IN COMPUTATIONAL NEUROSCIENCE |
Keywords | Field | DocType |
self-sustained activity,cycles,excitable dynamics,cellular automaton | Adjacency matrix,Cellular automaton,Computational neuroscience,Neuroscience,Computer science,Network architecture,Scale-free network,Deterministic system,Degree distribution,Artificial intelligence,Artificial neural network,Machine learning | Journal |
Volume | ISSN | Citations |
6 | 1662-5188 | 6 |
PageRank | References | Authors |
0.48 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guadalupe García | 1 | 6 | 0.48 |
| Annick Lesne | 2 | 41 | 7.12 |
| Marc-Thorsten Hütt | 3 | 90 | 13.65 |
| claus c hilgetag | 4 | 401 | 60.36 |