Researchers from Cedars-Sinai Medical Center, the University of Toronto, and collaborators studied how the human brain maintains task context in working memory as goals change. Analyzing neural recordings from 25 treatment-resistant epilepsy patients with surgically implanted electrodes while participants completed rule-based tasks over several minutes, the team found that medial frontal cortex neurons sustained a stable activity pattern to represent a rule even after cues disappeared, while hippocampal neurons generated a flexible rule representation whose format shifted depending on required behavior.Published in Nature Human Behaviour (2026), the work highlights how the brain encodes the same information through patterns of differing stability and flexibility to support rapid behavioral generalization.
- The medial frontal cortex region, including the pre-supplementary motor area (preSMA) and dorsal anterior cingulate cortex (dACC), was studied; all electrode locations were aligned to a brain atlas and color-coded by region.
- Authors proposed embedding durable, time-stable rule representations like those in preSMA/dACC to address generalization failures in large language models and other machine-learning architectures.
- The medial frontal cortex region, including the pre-supplementary motor area (preSMA) and dorsal anterior cingulate cortex (dACC), was studied; all electrode locations were aligned to a brain atlas and color-coded by region.
- Authors proposed embedding durable, time-stable rule representations like those in preSMA/dACC to address generalization failures in large language models and other machine-learning architectures.
