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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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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Sandeep K. Mody, Govindan Rangarajan
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Portfolio 2022-05-01
Saila:Scientific Reports
Sarrera elektronikoa:https://doi.org/10.1038/s41598-022-10459-7
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