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dc.contributor.authorMiran, Sina
dc.contributor.authorPurdon, Patrick L.
dc.contributor.authorBabadi, Behtash
dc.contributor.authorBrown, Emery Neal
dc.date.accessioned2017-11-01T18:04:08Z
dc.date.available2017-11-01T18:04:08Z
dc.date.issued2017-06
dc.date.submitted2017-03
dc.identifier.isbn978-1-5090-4117-6
dc.identifier.issn2379-190X
dc.identifier.urihttp://hdl.handle.net/1721.1/112115
dc.description.abstractWe consider the problem of estimating the power spectral density of the neural covariates underlying the spiking of a neuronal population. We assume the spiking of the neuronal ensemble to be described by Bernoulli statistics. Furthermore, we consider the conditional intensity function to be the logistic map of a second-order stationary process with sparse frequency content. Using the binary spiking data recorded from the population, we calculate the maximum a posteriori estimate of the power spectral density of the process while enforcing sparsity-promoting priors on the estimate. Using both simulated and clinically recorded data, we show that our method outperforms the existing methods for extracting a frequency domain representation from the spiking data of a neuronal population.en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICASSP.2017.7952274en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceOther univ. web domainen_US
dc.titleSparse spectral estimation from point process observationsen_US
dc.typeArticleen_US
dc.identifier.citationMiran, Sina, Patrick L. Purdon, Emery N. Brown, and Behtash Babadi. “Sparse Spectral Estimation from Point Process Observations.” 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 5-9 2017, New Orleans, LA, USA, Institute of Electrical and Electronics Engineers (IEEE) June 2017 © 2017 Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorBrown, Emery Neal
dc.relation.journal2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2017-10-26T17:53:18Z
dspace.orderedauthorsMiran, Sina; Purdon, Patrick L.; Brown, Emery N.; Babadi, Behtashen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2668-7819
mit.licenseOPEN_ACCESS_POLICYen_US


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