Statistical Inference for Assessing Functional Connectivity of Neuronal Ensembles With Sparse Spiking Data
The ability to accurately infer functional connectivity between ensemble neurons using experimentally acquired spike train data is currently an important research objective in computational neuroscience. Point process generalized linear models and maximum likelihood estimation have been proposed as...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://hdl.handle.net/1721.1/70044 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0002-6166-448X |