Effective computations for hippocampal place cell phenomena in sparse untrained random networks.

ABSTRACT: The mammalian brain processes experience-dependent spatial information through poorly-understood network mechanisms thought to depend on particular network connectivity patterns and activity-dependent synaptic plasticity. However, dedicated input connections that learn to shape information about place cannot easily explain many rodent hippocampal place cell phenomena. For example, representational drift notwithstanding, the discharge of each place cell maps to specific locations in a fixed environment, but the discharge of most cells remap to distinct independent locations across environments, despite the fact that most sub-second cofiring relationships amongst hippocampal neuron pairs persist across environments. Whereas some models of hippocampal spatial information processing rely on th

SUBMITTER: Hurtado JR 

PROVIDER: S-EPMC12632505 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature