Estimating the dimensionality of the manifold underlying multi-electrode neural recordings.

ABSTRACT: It is generally accepted that the number of neurons in a given brain area far exceeds the number of neurons needed to carry any specific function controlled by that area. For example, motor areas of the human brain contain tens of millions of neurons that control the activation of tens or at most hundreds of muscles. This massive redundancy implies the covariation of many neurons, which constrains the population activity to a low-dimensional manifold within the space of all possible patterns of neural activity. To gain a conceptual understanding of the complexity of the neural activity within a manifold, it is useful to estimate its dimensionality, which quantifies the number of degrees of freedom required to describe the observed population activity without significant information loss. W

SUBMITTER: Altan E 

PROVIDER: S-EPMC8659648 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature