Publication

Phase-based features for Motor Imagery Brain-Computer Interfaces

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Phase-based features for Motor Imagery Brain-Computer Interfaces

Graph Chatbot

Chat with Graph Search

The mouse motor system contains multiple premotor areas and partially follows human

Efficacy and safety of transcranial direct current stimulation to the ipsilesional motor cortex in subacute stroke (NETS): a multicenter, randomized, double-blind, placebo-controlled trial

Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Driving and suppressing the human language network using large language models

Trio preserves motor synapses and prolongs motor ability during aging

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Customizing the human-avatar mapping based on EEG error related potentials during avatar-based interaction.

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse