Title
Neural Networks As Sources Of Chaotic Motor Activity In Ants And How Complexity Develops At The Social Scale
Abstract
We discuss a Neural Network model generating activation signals for locomotion in ants. The signals are chaotic and so are the temporal patterns of spontaneous activations in single ants. Active ants are able to move and interact with other nest mates. This process of movement-interaction generates periodic pulses of activity once the number of individuals reaches a certain density value. An algorithmic complexity measure is used for identifying accurately the transition from chaos into order. Finally, an Iterated Function System analysis reveals the richness of dynamical behavior that emerges when ant colonies are self-poised near such a transition.
Year
DOI
Venue
2001
10.1142/S0218127401002912
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
DocType
Volume
Issue
Journal
11
6
ISSN
Citations 
PageRank 
0218-1274
1
0.42
References 
Authors
4
3
Name
Order
Citations
PageRank
Octavio Miramontes1122.87
Ricard V. Solé237747.63
Brian C Goodwin331.23