Topic: motor plans

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

During the course of an animal’s interaction with its environments, activity within central neural circuits is orchestrated exquisitely to structure goal-oriented movement. During walking, for example, the head, body and limbs are coordinated in distinctive ways that are guided by the task at play, and also by posture and balance requirements. Hence, the overall performance of goal-oriented walking depends on the interplay between task-specific motor plans and stability reflexes. Copies of motor plans, typically described by the term efference copy, modulate stability reflexes in a predictive