Topic: delayed reaching

Neural decoding uses brain activity to infer internal representations of the environmental states or predict behavior. Our study aimed to decode neural signal from the Posterior Parietal Cortex (V6A), to investigate intention coding and control of assistive devices. Data were recorded during delayed reaching in three different gaze/target conditions allowing to dissociate the retinotopic and the oculomotor reference frames. We used Deep Neural Networks to learn to decode the lateral displacement and the depth of the reached target from neural data averaged over four epochs, including pre-fixat