Discrete Time Rescaling Theorem: Determining Goodness of Fit for Statistical Models of Neural Spiking
One approach for understanding the encoding of information by spike trains is to fit statistical models and then test their goodness of fit. The time-rescaling theorem provides a goodness-of-fit test consistent with the point process nature of spike trains. The interspike intervals (ISIs) are rescal...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
MIT Press
2012
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| Online Access: | http://hdl.handle.net/1721.1/70963 https://orcid.org/0000-0003-2668-7819 |