Encoding of interdependent features of head direction and angular head velocity in navigation.

ABSTRACT: To navigate a dynamically changing environment, the brain must encode not only individual sensory or motor features but also their temporal interdependencies. A canonical example of this encoding challenge is the head direction (HD) system, where the current HD must be continuously updated based on its temporal derivative, angular head velocity (AHV). While previous studies have predominantly addressed the encoding of independent features, the neural representation of interdependent features remains inadequately characterized. Here, we investigated the population coding strategy for HD and AHV through a two-stage approach. First, a recurrent neural network was employed as a hypothesis-generating tool, trained to predict HD from AHV inputs, thus enabling analysis of the emergent neural resp

SUBMITTER: Cai D 

PROVIDER: S-EPMC12550893 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature