Development of elemental models for the brain simulator

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We have been working for modeling neuronal input-output relationship. We published a paper describing our MAT (multi-timescale adaptive threshold) model with which we won the first places in international competitions for predicting spike times of real biological neurons (Kobayashi, Tsubo, and Shinomoto, 2009). We further succeeded in augmenting the MAT model, so that it may represent the possible variety of neuronal firing patterns for nonstationary input, as represented by Izhikevich, while keeping the high predictive ability inherent in the original MAT model (Yamauchi, Kim, and Shinomoto, 2011). In addition, we invited distinguished researchers for discussion and lectures, and started international collaboration studies.