Task learning increases information redundancy of neural responses in macaque visual cortex
How does the brain optimize sensory information for decision-making in new tasks? One hypothesis suggests learning reduces redundancy in neural representations to improve efficiency, while another, based on Bayesian inference, predicts learning increases redundancy by distributing information across neurons. We tested these hypotheses by tracking population responses in macaque cortical area V4 as monkeys learned visual discrimination tasks. We found strong support for the Bayesian predictions: task learning increased redundancy in neural responses over weeks of training and within single trials. This redundancy did not reduce information but instead increased the information carried by i...
| Authors | Shizhao Liu, Anton Pletenev, Ralf M. Haefner et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 7 March 2026 |
| Last updated at source | 7 March 2026 |
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