Conjunctive population coding integrates sensory evidence to guide adaptive behavior.

Area of Science:

• Neuroscience
• Cognitive Science
• Computational Neuroscience

Background:

• Cognitive flexibility requires integrating sequential sensory evidence with prior knowledge and task demands.
• A key computational challenge is how to integrate temporally unfolding information while maintaining stimulus discriminability for context-specific actions.

Purpose of the Study:

• To investigate how neural population activity integrates behaviorally relevant information across sequential sensory events.
• To understand the neural mechanisms underlying context-dependent sensory coding and adaptive behavior.

Main Methods:

• Large-scale human intracranial electroencephalography (iEEG) was used to record neural population activity.
• Analysis focused on how neural responses integrated sequential sensory inputs and defined temporal context.

Main Results:

• Population geometry supports conjunctive coding subspaces that integrate prior information with current sensory evidence.
• Evidence accumulation diversifies neural responses across the cortex, creating representational space for context-dependent stimulus-action mappings.
• Context-dependent sensory coding was identified as a potential neural basis for adaptive behavior.

Conclusions:

• Neural population activity balances integrating predictive information with preserving stimulus discriminability.
• This balance enables cognitive flexibility and adaptive behavior by minimizing interference between integrated information and distinct stimuli.