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Sparse representations of high dimensional neural data

Abstract Conventional Vector Autoregressive (VAR) modelling methods applied to high dimensional neural time series data result in noisy solutions that are dense or have a large number of spurious coefficients. This reduces the speed and accuracy of auxiliary computations downstream and inflates the...

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Autores principales: Sandeep K. Mody, Govindan Rangarajan
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2022-05-01
Colección:Scientific Reports
Acceso en línea:https://doi.org/10.1038/s41598-022-10459-7
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