Publication

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

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.

An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG

Graph Chatbot

Chat with Graph Search

Neurorack: deep audio learning in hardware synthesizers

A multimodal approach to capture post-stroke temporal dynamics of recovery

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Monitoring of Cardiovascular and Neurological Diseases Using Wearable Devices

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect

Exploring the relative efficacy of motion artefact correction techniques for EEG data acquired during simultaneous fMRI

A Multifaceted Approach to Covert Attention Brain-Computer Interfaces

Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study

Word pair classification during imagined speech using direct brain recordings