Steps towards neural decoding of colors

We describe how probabilistic models coupled with fMRI-guided microelectrode recordings from inferior-temporal macaque cortex (IT) could help us understand color decoding: i.e. how appearance is extracted from the neuronal responses evoked by a stimulus. Neurons in IT respond to a narrow range of colors with their peak responses scattered around the color circle. We discuss how intra-cellular processes and cortical circuits could generate such tuning curves, and how they approximate optimal Bayesian decoders in winner-take-all schemes.

Source: Current Opinion in Behavioral Sciences - November 1, 2019 Category: Psychiatry & Psychology Source Type: research