Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis

Authors:
Francisco de Borja Rodríguez Ortiz;Roberto Latorre;Pablo Varona
Affiliations:
-;-;-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

Citing 3
Cited 5

Elements of information theory

Elements of information theory
Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information

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Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Temporal structure in the bursting activity of the leech heartbeat CPG neurons

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Reaction to neural signatures through excitatory synapses in central pattern generator models

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Abstract

Central Pattern generators (CPGs) are neural circuits that produce patterned signals to drive rhythmic behaviors in a robust and flexible manner. In this paper we analyze the triphasic rhythm of a well known CPG circuit using two different models of spiking-bursting neurons and several network topologies. By means of a measure of mutual information we calculate the degree of information exchange in the bursting activity between neurons. We discuss the precision and robustness of different network configurations.