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Building population models for large-scale neural recordings: opportunities and pitfalls

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arxiv 2102.01807 v4 pith:6N5NP27S submitted 2021-02-03 q-bio.NC cs.LG

Building population models for large-scale neural recordings: opportunities and pitfalls

classification q-bio.NC cs.LG
keywords modelsneuralpopulationrecordingactivityanalyzingapproachesarea
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Modern recording technologies now enable simultaneous recording from large numbers of neurons. This has driven the development of new statistical models for analyzing and interpreting neural population activity. Here we provide a broad overview of recent developments in this area. We compare and contrast different approaches, highlight strengths and limitations, and discuss biological and mechanistic insights that these methods provide.

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