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.
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References
Selverston A.I., Moulins M.: The Crustaceam Stomatogastric System: a Model for the Study of Central Nervous Systems. Berlin; New York: Springer-Verlag (1987).
Latorre R., Rodriguez F.B., Varona P.: Characterization of triphasic rhythms in central pattern generators (I): interspike interval analysis. ICANN’02 proceedings. LNCS (2002).
Shannon, C.E.: A Mathematical Theory of Communication. Bell Sys. Tech. J. 27 (1948) 379–423 623-656.
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley and Sons (1991).
Rieke, F., Warland, D., de Ruyter van Steveninck, R., Bialek, W.: Spikes: Exploring the Neuronal Code. A Bradford Book. MIT Press Cambridge. Massachusetts, London, England (1997).
Harris-Warrick, R.M.:Dynamic Biological Network: The Stomatogastric Nervous System. Canbridge, Mass.: MIT Press. (1992).
Strong, S.P., Koberle, R., de Ruyter van Steveninck, R., Bialek, W.: Entropy and Information in Neural Spike Train. Physical Review Letters 80 1 (1998) 197–200.
Eguia, M.C., Rabinovich, M.I., Abarbanel, H.D.I.: Information Transmission and Recovery in Neural Communications Channels. Phys. Rev. E 62 (2000) 7111–7122.
Rodríguez, F.B., Varona, P., Huerta, R., Rabinovich, M.I., Abarbanel, H.D.I.: Richer Network Dynamics of Intrinsically Non-Regular Neurons Measured through Mutual Information. In: Lecture Notes in Computer Science (Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence), Mira, J., Prieto, A (Eds.), dy2084 (2001), 490–497.
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Rodríguez, F.B., Latorre, R., Varona, P. (2002). Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_28
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DOI: https://doi.org/10.1007/3-540-46084-5_28
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