Perceptual training continuously refines neuronal population codes in primary visual cortex

Using chronic microelectrode arrays in monkeys, this study finds that progressive learning on a visual task is largely explained by changes in the response of primary visual cortex neurons. The decoding accuracy of a linear classifier trained on V1 aggregate responses suggests that as learning proceeds, the primary visual cortex codes more task-relevant information.