Work

Author response: Unsupervised Bayesian Ising Approximation for decoding neural activity and other biological dictionaries

Year: 2021

Type: peer-review

Abstract: The proposed method deciphers which low-level patterns (such as spikes) control high-level features (behavior) in relative small biological datasets, taking into account the statistical dependencies between such patterns.

DOI: 10.7554/elife.68192.sa2

Authors: Damián G Hernández, Samuel J Sober, Ilya Nemenman

Institutions: Emory University, Balseiro Institute, Bariloche Atomic Centre

Language: English

Topic: Neural dynamics and brain function

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

OpenAlex ID: W4285341330

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