Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information
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
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Determining burst firing time distributions from multiple spike trains
Neural Computation
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Interacting slow and fast dynamics in precise spiking-bursting neurons
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Central Pattern generators (CPGs) neurons produce patterned signals to drive rhythmic behaviors in a robust and flexible manner. In this paper we use a well known CPG circuit and two different models of spiking-bursting neurons to analyze the presence of individual signatures in the behavior of the network. These signatures consist of characteristic interspike interval profiles in the activity of each cell. The signatures arise within the particular triphasic rhythm generated by the CPG network. We discuss the origin and role of this type of individuality observed in these circuits.