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                Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM

                Katahira, Kentaro, Nishikawa, Jun, Okanoya, Kazuo, Okada, Masato

                Dec-31-2009–Neural Information Processing Systems 

                Neural activity is non-stationary and varies across time.

                  bayesian inference, neurology, spike train, (20 more...)

                Neural Information Processing Systems

                Dec-31-2009

                Conferences    PDF

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                • Country:
                  • Asia > Japan > Honshū > Kantō (0.14)
                • Genre:
                  • Research Report > New Finding (0.46)
                • Industry:
                  • Health & Medicine > Therapeutic Area > Neurology (0.46)
                • Technology:
                  • Information Technology > Artificial Intelligence
                    • Machine Learning
                      • Learning Graphical Models > Undirected Networks
                        • Markov Models (0.68)
                      • Statistical Learning (0.69)
                    • Representation & Reasoning > Uncertainty
                      • Bayesian Inference (0.46)

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                Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
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