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Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals.
Hicks JM, Boebinger D, Nourski KV, Howard MA, Garcia CM, Wychowski T, Pilcher W, Norman-Haignere SV

Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals.

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Overview & Synopsis

Open access biomedical research article published in Proc Conf Cogn Comput Neurosci.

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Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Title Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals.
Author / Organization Hicks JM, Boebinger D, Nourski KV, Howard MA, Garcia CM, Wychowski T, Pilcher W, Norman-Haignere SV
Subject & Discipline Proc Conf Cogn Comput Neurosci
Categories Medicine & Health
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-80252
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »