Bayesian Estimation of Phase Dynamics Based on Partially Sampled Spikes Generated by Realistic Model Neurons

A dynamic system showing stable rhythmic activity can be represented by the dynamics of phase oscillators. This would provide a useful mathematical framework through which one can understand the system's dynamic properties. A recent study proposed a Bayesian approach capable of extracting the u...

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Bibliographic Details
Main Authors: Kento Suzuki, Toshio Aoyagi, Katsunori Kitano
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-01-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00116/full