After choosing stimulus features (as inputs to an encoding model, or outputs to a decoding model) as well as the neural signal of interest, one must link these two data sets by “fitting” the model.

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.

Neural encoding and decoding of retinal ganglion cells (RGCs) have been attached great importance in the research work of brain-machine interfaces. Much effort has been invested to mimic RGC and get ...