Cutsuridis V, Cobb SR & Graham B (2008) Encoding and Retrieval in a CA1 Microcircuit Model of the Hippocampus. In: Kurkova V, Neruda R & Koutnik J (eds.) Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II. Lecture Notes in Computer Science, 5164. 18th International Conference on Artificial Neural Networks –ICANN 2008, Prague, Czech Republic, 03.09.2008-06.09.2008. Berlin, Germany: Springer-Verlag, pp. 238-247. http://link.springer.com/chapter/10.1007/978-3-540-87559-8_25#; https://doi.org/10.1007/978-3-540-87559-8_25
Abstract Recent years have witnessed a dramatic accumulation of knowledge about the morphological, physiological and molecular characteristics, as well as connectivity and synaptic properties of neurons in the mammalian hippocampus. Despite these advances, very little insight has been gained into the computational function of the different neuronal classes; in particular, the role of the various inhibitory interneurons in encoding and retrieval of information remains elusive. Mathematical and computational models of microcircuits play an instrumental role in exploring microcircuit functions and facilitate the dissection of operations performed by diverse inhibitory interneurons. A model of the CA1 microcircuitry is presented using biophysical representations of its major cell types: pyramidal, basket, axo-axonic, bistratified and oriens lacunosum-moleculare cells. Computer simulations explore the biophysical mechanisms by which encoding and retrieval of spatio-temporal input patterns are achieved by the CA1 microcircuitry. The model proposes functional roles for the different classes of inhibitory interneurons in the encoding and retrieval cycles.