The implications of categorical and category-free mixed selectivity on representational geometries
The firing rates of individual neurons displaying mixed selectivity are modulated by multiple task variables. When mixed selectivity is nonlinear, it confers an advantage by generating a high-dimensional neural representation that can be flexibly decoded by linear classifiers. Although the advantage...
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| Main Authors: | , , , , , |
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| Format: | Revisão |
| Language: | English |
| Published: |
2022
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| Online Access: | https://doi.org/10.1016/j.conb.2022.102644 |
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