Estimating a Separably Markov Random Field from Binary Observations
A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key limitation of current methods to analyze neural spiking data is the need to collapse neural activity over time or trial...
| Main Authors: | , , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MIT Press,
2018-05-16T16:50:28Z.
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| Subjects: | |
| Online Access: | Get fulltext |