Synchronisation Mechanisms in Neuronal Networks

Authors:
Santi Chillemi;Michele Barbi;Angelo Di Garbo
Affiliations:
-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

Citing 3
Cited 0

Alternating and synchronous rhythms in reciprocally inhibitory model neurons

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Synchrony in excitatory neural networks

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Synchronisation in a Network of FHN Units with Synaptic-Like Coupling

IWANN '99 Proceedings of the International Work-Conference on Artificial and Natural Neural Networks: Foundations and Tools for Neural Modeling

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Abstract

The synchronisation behaviour of a network of FitzHugh-Nagumo (FHN) oscillators are investigated. As the FHN units are meant to represent interneurons, only inhibitory chemical coupling is considered. Each unit receives synaptic-like input from a given fraction of the other units, randomly chosen. The synchronisation properties of the neuronal population are investigated against the coupling features (number of connections per neuron, synaptic current duration and coupling strength) and the network heterogeneity. Critical parameter values leading to the network synchronisation are found to exist.