Semi-orthogonal subspaces for value mediate a tradeoff between binding and generalization.
| Autor: | Johnston WJ; Center for Theoretical Neuroscience and Mortimer B. Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York, New York, United States of America., Fine JM; Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, United States of America., Yoo SBM; Department of Biomedical Engineering, Sunkyunkwan University, and Center for Neuroscience Imaging Research, Institute of Basic Sciences, Suwon, South Korea, Republic of Korea, 16419., Ebitz RB; Department of Neuroscience, Université de Montréal, Montréal, Quebec, Canada., Hayden BY; Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, United States of America. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | ArXiv [ArXiv] 2023 Sep 14. Date of Electronic Publication: 2023 Sep 14. |
| Abstrakt: | When choosing between options, we must associate their values with the action needed to select them. We hypothesize that the brain solves this binding problem through neural population subspaces. To test this hypothesis, we examined neuronal responses in five reward-sensitive regions in macaques performing a risky choice task with sequential offers. Surprisingly, in all areas, the neural population encoded the values of offers presented on the left and right in distinct subspaces. We show that the encoding we observe is sufficient to bind the values of the offers to their respective positions in space while preserving abstract value information, which may be important for rapid learning and generalization to novel contexts. Moreover, after both offers have been presented, all areas encode the value of the first and second offers in orthogonal subspaces. In this case as well, the orthogonalization provides binding. Our binding-by-subspace hypothesis makes two novel predictions borne out by the data. First, behavioral errors should correlate with putative spatial (but not temporal) misbinding in the neural representation. Second, the specific representational geometry that we observe across animals also indicates that behavioral errors should increase when offers have low or high values, compared to when they have medium values, even when controlling for value difference. Together, these results support the idea that the brain makes use of semi-orthogonal subspaces to bind features together. Competing Interests: Competing interests The authors have no competing interests to declare. |
| Databáze: | MEDLINE |
| Externí odkaz: |
|