Networks-based brain computer interfaces for decoding neurophysiological dynamics
The brain is an extremely complex organ and probably one of the greatest mysteries of the universe that has baffled scientists and thinkers for centuries. Today, one of the ways in which we understand and investigate the brain is by modelling various neural phenomena with the help of machine learnin...
Saved in:
Main Author: | Chouhan, Tushar |
---|---|
Other Authors: | Guan Cuntai |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/137899 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Feature extraction from EEG signals and regularization for brain-computer interface
by: Mishuhina, Vasilisa
Published: (2020) -
Brain-computer interface for mental attention
by: Fatemeh Fahimi
Published: (2020) -
Recognizing EEG signals for brain-computer interface based on machine learning
by: Liu, Chang
Published: (2019) -
Advanced brain computer interface
by: Arvaneh, Mahnaz
Published: (2014) -
FPGA implementation of turbo decoders with various decoding algorithms
by: Lu, Shanguo.
Published: (2008)