Unsupervised Bayesian Ising Approximation for decoding neural activity and other biological dictionaries.

ABSTRACT: The problem of deciphering how low-level patterns (action potentials in the brain, amino acids in a protein, etc.) drive high-level biological features (sensorimotor behavior, enzymatic function) represents the central challenge of quantitative biology. The lack of general methods for doing so from the size of datasets that can be collected experimentally severely limits our understanding of the biological world. For example, in neuroscience, some sensory and motor codes have been shown to consist of precisely timed multi-spike patterns. However, the combinatorial complexity of such pattern codes have precluded development of methods for their comprehensive analysis. Thus, just as it is hard to predict a protein's function based on its sequence, we still do not understand how to accurately

SUBMITTER: Hernandez DG 

PROVIDER: S-EPMC8989415 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature