These tools come in the form of “Encoding” models, in which stimulus features are used to model brain activity, and “Decoding” models, in which neural features are used to generated a stimulus output.

Recent studies on visual neural encoding and decoding have made significant progress, benefiting from the latest advances in deep neural networks having powerful representations. However, two ...

Formally, model-based decoding of the animal's decision relies on the posterior distribution over choice given the spikes, which can be derived from the encoding distribution using Bayes' rule.

Tutorials for Encoding/Decoding Models in Cognitive Neuroscience This is a short collection of notebooks describing how to create encoding and decoding models of cognitive neuroscience. It accompanies ...