Relating neuronal firing patterns to functional differentiation of cerebral cortex von Shinomoto, Shigeru, Kim, Hideaki, Shimokawa, Takeaki, Matsuno, Nanae, Funahashi, Shintaro, Shima, Keisetsu, Fujita, Ichiro, Tamura, Hiroshi, Doi, Taijiro, Kawano, Kenji, Inaba, Naoko, Fukushima, Kikuro, Kurkin, Sergei, Kurata, Kiyoshi, Taira, Masato, Tsutsui, Ken-Ichiro, Komatsu, Hidehiko, Ogawa, Tadashi, Koida, Kowa, Tanji, Jun, Toyama, Keisuke

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Analyzing Temporal Dynamics of Consumer's Behavior Based on Hierarchical Time-Rescaling von KIM, Hideaki, TAKAYA, Noriko, SAWADA, Hiroshi

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MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm von Akagi, Yasunori, Marumo, Naoki, Kim, Hideaki, Kurashima, Takeshi, Toda, Hiroyuki

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Neuronal firing patterns and cerebral cortical functions von Shinomoto, Shigeru, Kim, Hideaki, Shimokawa, Takeaki

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Detecting a change point by a single neuron von Kim, Hideaki, Richmond, Barry J., Shinomoto, Shigeru

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Estimating nonstationary input signals from a single neuronal spike train von Kim, Hideaki, Shinomoto, Shigeru

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Optimization of Financial Incentive Policy for Exercise Adherence von KIM, Hideaki, KURASHIMA, Takeshi

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Continuous-Time Models for Decision Making under Present Bias von AKAGI, Yasunori, KIM, Hideaki, KURASHIMA, Takeshi

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Elemental spiking neuron model for reproducing diverse firing patterns and predicting precise firing times von Yamauchi, Satoshi, Kim, Hideaki, Shinomoto, Shigeru

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Neurons as ideal change-point detectors von Kim, Hideaki, Richmond, Barry J., Shinomoto, Shigeru

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A Continuous-time Tractable Model for Present-biased Agents von Akagi, Yasunori, Kim, Hideaki, Kurashima, Takeshi

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Dynamical behavior of multi-timescale adaptive threshold model von Yamauchi, Satoshi, Kim, Hideaki, Shinomoto, Shigeru

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Joint Pricing and Matching for Resource Allocation Platforms via Min-cost Flow Problem von Hikima, Yuya, Akagi, Yasunori, Kim, Hideaki

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29pXR-4 Estimating non-stationary input signals from a single neuronal spike train von Kim, Hideaki, Shinomoto, Shigeru

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Meta-Learning for Neural Network-based Temporal Point Processes von Takimoto, Yoshiaki, Tanaka, Yusuke, Iwata, Tomoharu, Okawa, Maya, Kim, Hideaki, Toda, Hiroyuki, Kurashima, Takeshi

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A Continuous-time Tractable Model for Present-biased Agents von Akagi, Yasunori, Kim, Hideaki, Kurashima, Takeshi

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Joint Pricing and Matching for Resource Allocation Platforms via Min-cost Flow Problem von Hikima, Yuya, Akagi, Yasunori, Kim, Hideaki

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Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm von Akagi, Yasunori, Marumo, Naoki, Kim, Hideaki, Kurashima, Takeshi, Toda, Hiroyuki

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Estimating inputs and an internal neuronal parameter from a single spike train von Shinomoto, Shigeru, Kim, Hideaki

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Histogram Meets Topic Model: Density Estimation by Mixture of Histograms von Kim, Hideaki, Sawada, Hiroshi

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