Maximum-entropy and representative samples of neuronal activity: a dilemma

PierGianLuca Porta Mana, Vahid Rostami, Emiliano Torre and Yasser Roudi
Additional contact information
PierGianLuca Porta Mana: Norwegian University of Science and Technology

No uz29n, OSF Preprints from Center for Open Science

Abstract: The present work shows that the maximum-entropy method can be applied to a sample of neuronal recordings along two different routes: (1) apply to the sample; or (2) apply to a larger, unsampled neuronal population from which the sample is drawn, and then marginalize to the sample. These two routes give inequivalent results. The second route can be further generalized to the case where the size of the larger population is unknown. Which route should be chosen? Some arguments are presented in favour of the second. This work also presents and discusses probability formulae that relate states of knowledge about a population and its samples, and that may be useful for sampling problems in neuroscience.

Date: 2018-05-23
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://osf.io/download/5b0538d43dff5a00131e40b1/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:uz29n

DOI: 10.31219/osf.io/uz29n

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().