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Saturday, December 6, 2008 Poster Session 1 1:00 p.m.‐6:00 p.m. Clinical Neurophysiology - 2008 - Epilepsia - Wiley Online Library
A comparative analysis of signal processing and classification methods for different applications based on EEG signals - ScienceDirect
Human motor decoding from neural signals: a review | BMC Biomedical Engineering | Full Text
Circadian Rhythms of Perineuronal Net Composition | eNeuro
PDF) Sleep State Classification Using Power Spectral Density and Residual Neural Network with Multichannel EEG Signals
A comparative analysis of signal processing and classification methods for different applications based on EEG signals - ScienceDirect
Poster Session III 8:00 a.m.‐2:00 p.m. - 2007 - Epilepsia - Wiley Online Library
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PDF) Low-cost electroencephalogram (EEG) based authentication
A comparative analysis of signal processing and classification methods for different applications based on EEG signals - ScienceDirect
Circadian Rhythms of Perineuronal Net Composition | eNeuro
Gale OneFile: Health and Medicine - Document - Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals.
PDF) On the application of various probabilistic neural networks in solving different pattern classification problems
Confusion matrix. Relevant features extracted from the EEG and EOG... | Download Table
Confusion matrix. Relevant features extracted from the EEG and EMG... | Download Table
Gale OneFile: Health and Medicine - Document - Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals.
BCI oriented EEG analysis using log energy entropy of wavelet packets - ScienceDirect
Microglial Associated Circadian Rhythms of Perineuronal Net Composition | bioRxiv
Active control of arousal by a locus coeruleus GABAergic circuit | Nature Neuroscience
EEG Classification in Brain Computer Interface (BCI): A Pragmatic Appraisal
On the upper part, a colored hypnogram obtained with the two-stage... | Download Scientific Diagram
Human motor decoding from neural signals: a review | BMC Biomedical Engineering | Full Text
Engineering Applications of Neural Networks
EEG-based mild depression recognition using convolutional neural network | SpringerLink
