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: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
MIT Press
2018
|
| Online Access: | http://hdl.handle.net/1721.1/115400 https://orcid.org/0000-0002-0438-3163 |