Abstract representations emerge in human hippocampal neurons during inference
California Institute of Technology · Cedars-Sinai Medical Center · +6 more institutions
Abstract
Humans have the remarkable cognitive capacity to rapidly adapt to changing environments. Central to this capacity is the ability to form high-level, abstract representations that take advantage of regularities in the world to support generalization1. However, little is known about how these representations are encoded in populations of neurons, how they emerge through learning and how they relate to behaviour2,3. Here we characterized the representational geometry of populations of neurons (single units) recorded in the hippocampus, amygdala, medial frontal cortex and ventral temporal cortex of neurosurgical patients performing an inferential reasoning task. We found that only the neural representations formed…
Citation impact
- FWCI
- 33.85
- Percentile
- 100%
- References
- 73
Authors
10- HCHristos CourellisCorresponding
California Institute of Technology, Cedars-Sinai Medical Center
- JMJuri Minxha
California Institute of Technology, Cedars-Sinai Medical Center, Columbia University
- ARAraceli R. Cardenas
University Health Network, University of Toronto, Krembil Research Institute
- DLDaniel L. Kimmel
Columbia University
- CMChrystal M. Reed
Cedars-Sinai Medical Center
Topics & keywords
- Hippocampal formation
- Inference
- Neuroscience
- Biology
- Cognitive science
- Computer science
- Artificial intelligence
- Psychology
Funding
- CICalifornia Institute of TechnologyAward: P50MH094258
- CMCedars-Sinai Medical Center
- NINational Institutes of HealthAwards: R01MH110831, P50MH094258, U01NS117839
- NINational Institute of Mental HealthAwards: R01MH110831, P50MH094258, R01MH082017, JPMJMS2294
- MRMoonshot Research and Development ProgramAward: JPMJMS2294