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.

Decoding is about interpreting the probabilities that the model calculates for each possible next token (word or symbol). The goal is to create the most sensible or natural sequence.

The model was able to accurately decode the fMRI data into specific image categories. ... Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision. Haiguang Wen 2,3, Junxing Shi 2,3, ...

Despite a century of research, memory encoding in the brain has remained mysterious. Neuronal synaptic connection strengths are involved, but synaptic components are short-lived while memories ...

On April 28, 2017, the U.S. Court of Appeals for the Federal Circuit issued a precedential decision in RecogniCorp, LLC v. Nintendo Co., Ltd. (2016-1499) that certain claims in RecogniCorp’s ...