𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Spatial clusters of synchronization in neural networks of chaotic spiking-bursting neurons

✍ Scribed by J.J. Torres; P. Varona; R. Huerta; H.D.I. Abarbanel; M.I. Rabinovich

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
48 KB
Volume
121-122
Category
Article
ISSN
0010-4655

No coin nor oath required. For personal study only.

✦ Synopsis

The collective behavior of lattices of chaotic-bursting neurons electrically coupled with nearest neighbor connections has been studied recently to some extent [1]. Some interesting results have been reported, for instance, spatio-temporal patterns consisting of clusters of synchronized bursts and bistability for a wide range of the control parameters that define the dynamics of the individual neurons and the coupling conductances for the electrical connections. We have studied a more complex situation in such kind of networks by considering chemical synapses between nearest neighbor neurons instead of electrical coupling. We have built a network of spiking-bursting Hindmarsh-Rose neurons placed randomly in the chaotic regime [2]. We have studied the influence of the parameters that characterize the chemical synapses (maximum conductances, time constants and reversal potentials) on the spatial cluster formation in the synchronization phenomena resulting from the cooperative behavior. Our model is useful to study emergent properties of several real systems as central pattern generators, and also to develop new paradigms of artificial neuronal networks to encode spatio-temporal relations.

πŸ“œ SIMILAR VOLUMES

The emergence of synchronized bursting i
The emergence of synchronized bursting in a heterogeneous, highly clustered respiratory network
✍ Justin R Dunmyre; Jonathan E Rubin πŸ“‚ Article πŸ“… 2011 πŸ› BioMed Central 🌐 English βš– 429 KB

Figure 1 Simulation of a large preBΓΆtC network. Panel A shows a network connectivity diagram for a network bred by our genetic algorithm. Panel B shows the corresponding raster plot, displaying a mixture of successful synchronized bursting along with other forms of activity.

Synchronization and control in a cellula
Synchronization and control in a cellular neural network of chaotic units by local pinnings
✍ Jankowski, S.; Londei, A.; Lozowski, A.; Mazur, C. πŸ“‚ Article πŸ“… 1996 πŸ› John Wiley and Sons 🌐 English βš– 443 KB πŸ‘ 2 views

We present a new technique for controlling the behaviour of a large system composed of chaotic units by using only a few control units referred to as pinnings. Our model can be regarded as an extension of cellular neural networks to chaotic cells, in this paper described by Lorenz equations, locally