Conjunctive population coding integrates sensory evidence to guide adaptive behavior

J Jonas Terlau (Hertie Institute for Clinical Brain Research, Center for Neurology, University Medical Center Tübingen) S Silke Ethofer (Department of Neurosurgery, University Medical Center Tübingen) G Georgios Naros (Department of Neurosurgery, University Medical Center Tübingen) Y Yvonne Fonken (Department of Psychology, University of California Berkeley) J Jack J. Lin (Department of Neurology, University of California Davis) R Robert T. Knight (Department of Psychology, University of California Berkeley) R Randolph F. Helfrich (Department of Psychology and the Wu Tsai Institute, Yale University)

Abstract

Cognitive flexibility relies on the continuous accumulation and integration of sensory evidence to guide adaptive behavior. In natural environments, behaviorally relevant information unfolds sequentially over time and is constantly evaluated against prior knowledge, task rules, and current demands. Integration of these inputs poses a computational challenge: How is temporally unfolding, predictive information integrated into a stable representation, while preserving the discriminability and flexibility to map individual stimuli to competing context-specific actions? Using large-scale human intracranial electroencephalography, we assessed how neural population activity integrates behaviorally relevant information across multiple sensory events that sequentially unfold over time and jointly determine the current context. The results uncover that the population geometry supports the emergence of conjunctive coding subspaces that integrate prior information with current sensory evidence and jointly define the temporal context that mediates behavioral benefits. Evidence accumulation diversifies the population responses distributed across the cortex, increasing the representational space that embeds context-dependent stimulus-action mappings. Hence, context-dependent sensory coding might constitute the neural basis underlying adaptive human behavior. In sum, these results demonstrate how neural population activity balances integrating predictive information with preserving stimulus discriminability to enable flexibility, while minimizing interference.

Article Details

Volume / Issue Vol. 122, Issue 52
Published December 30, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

J

Jonas Terlau

Hertie Institute for Clinical Brain Research, Center for Neurology, University Medical Center Tübingen

S

Silke Ethofer

Department of Neurosurgery, University Medical Center Tübingen

G

Georgios Naros

Department of Neurosurgery, University Medical Center Tübingen

Y

Yvonne Fonken

Department of Psychology, University of California Berkeley

J

Jack J. Lin

Department of Neurology, University of California Davis

R

Robert T. Knight

Department of Psychology, University of California Berkeley

R

Randolph F. Helfrich

Department of Psychology and the Wu Tsai Institute, Yale University