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