Perturbation experiments for hippocampal local circuits with dynamic clamp and Bayesian analysis for noisy response data

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We aim to elucidate the mechanism of information processing in hippocampal local circuits by using perturbation experiments and mathematical analyses. First, we identify a phase reduction model of neurons, and then, we try to understand the mechanism of information processing in local circuits by analyzing the reduction model we identified. (1) Development of a dynamic clamp system for perturbation experiments. (2) Identification of a stochastic phase reduction model of rat hippocampal CA1 pyramidal neurons by perturbation experiments with the dynamic clamp. (3) Construction of virtual circuit consisting of real neurons with the dynamic clamp and verification of the efficacy of the stochastic phase reduction model we identified. (4) Exposition of information representations in hippocampal neurons, e.g. place cells, based on the phase reduction model we identified. Through these fruits of out research, we were a success in ensuring consistency of top-down and bottom-up understandings.