Abstract
Although it is generally recognized that “interneurons generate a variety of synchronous inhibitory rhythms in the neocortex...”(J. R. Gibson et al. ) and they “may play a key role in coordinating cortical activity...”(M. Galarreta & S. Hestrin), little is known how they behave in the in vivo neocortex. A salient property of some interneuron systems in the neocortex is that they are coupled by gap junctions (GJs) – a kind of electrical couplings very intensively between the same type of interneurons. In our previous studies, we reported the theoretical possibility that a class of neuron systems may exhibit spatio-temporal chaos when they are coupled by GJs, while the individual neurons, when isolated, exhibit only simple repetitive firings. This dynamics is emergent, and unveils only when cells are coupled by GJs. Mathematically, this phenomenon could be an expression of chaotic itinerancy among pseudo-attractors (or, attractor ruins). In view of the ubiquity of GJs – there are at least five distinct interneuron systems coupled by GJs in the six layers of the neocortex, and in view of the significance of the concept of chaotic itinerancy in memory dynamics we give in this lecture a review about general property and collective dynamics of GJ-coupled neuronal systems.
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Fujii, H., Tsuda, I. (2004). Itinerant Dynamics of Class I* Neurons Coupled by Gap Junctions. In: Érdi, P., Esposito, A., Marinaro, M., Scarpetta, S. (eds) Computational Neuroscience: Cortical Dynamics. NN 2003. Lecture Notes in Computer Science, vol 3146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27862-7_8
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DOI: https://doi.org/10.1007/978-3-540-27862-7_8
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