Publication

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

Related publications (81)

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.

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

Graph Chatbot

Chat with Graph Search

Reward biases spontaneous neural reactivation during sleep

Learning continuous-time working memory tasks with on-policy neural reinforcement learning

Soft materials and technologies for neural interfaces

Physics-informed machine learning for reduced-order modeling of nonlinear problems

Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism

Closed-Loop Neural Interfaces with Embedded Machine Learning

Mixed-Precision Deep Learning Based on Computational Memory

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Crowding and the Architecture of the Visual System