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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Plourde, E. Delgutte, B. Brown, E.N. |
| Copyright Year | 1964 |
| Abstract | We propose a point process model of spiking activity from auditory neurons. The model takes account of the neuron's intrinsic dynamics as well as the spectrotemporal properties of an input stimulus. A discrete Volterra expansion is used to derive the form of the conditional intensity function. The Volterra expansion models the neuron's baseline spike rate, its intrinsic dynamics-spiking history-and the stimulus effect which in this case is the analog of the spectrotemporal receptive field (STRF). We performed the model fitting efficiently in a generalized linear model framework using ridge regression to address properly this ill-posed maximum likelihood estimation problem. The model provides an excellent fit to spiking activity from 55 auditory nerve neurons. The STRF-like representation estimated jointly with the neuron's intrinsic dynamics may offer more accurate characterizations of neural activity in the auditory system than current ones based solely on the STRF. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Page Count | 4 |
| File Size | 318546 |
| Starting Page | 1507 |
| Ending Page | 1510 |
| File Format | |
| ISSN | 00189294 |
| Volume Number | 58 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neurons Frequency measurement History Analytical models Kernel Auditory system Maximum likelihood estimation spike train model generalized linear model point process spectrotemporal receptive field |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biomedical Engineering |
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