Remapping in a recurrent neural network model of navigation and context inference.

ABSTRACT: Neurons in navigational brain regions provide information about position, orientation, and speed relative to environmental landmarks. These cells also change their firing patterns ("remap") in response to changing contextual factors such as environmental cues, task conditions, and behavioral state, which influence neural activity throughout the brain. How can navigational circuits preserve their local computations while responding to global context changes? To investigate this question, we trained recurrent neural network models to track position in simple environments while at the same time reporting transiently-cued context changes. We show that these combined task constraints (navigation and context inference) produce activity patterns that are qualitatively similar to population-wide r

SUBMITTER: Low IIC 

PROVIDER: S-EPMC9900889 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature