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    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
    13 years 5 months ago
    Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
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    Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
    Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
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