신경망 특론

강의상세

뇌의 신경망의 구조 및 기능에 대한 기본 지식을 습득하고 이에 대한 수리적 분석 및 모델링 실습을 통해, 뇌 신경망을 이해할수 있도록 함

Overview, Neuroimaging methods, introduction EEG

1.		Overview, Neuroimaging methods, introduction EEG
		Overview, Neuroimaging methods, introduction EEG
		Overview, Neuroimaging methods, introduction EEG
2.		Spectral data and filters & synchronization of EEG signals & Hemodynamics (NIRS, fMRI)
		Spectral data and filters & synchronization of EEG signals & Hemodynamics (NIRS, fMRI)
		Spectral data and filters & synchronization of EEG signals & Hemodynamics (NIRS, fMRI)
		Spectral data and filters & synchronization of EEG signals & Hemodynamics (NIRS, fMRI)
3.		SigProc (PCA)
		SigProc (PCA)
4.		SigProc (CCA)
		SigProc (CCA)
		SigProc (CCA)
5.		SigProc (ICA,CSP, SPOC)
		SigProc (ICA,CSP, SPOC)
		SigProc (ICA,CSP, SPOC)
		SigProc (ICA,CSP, SPOC)
6.		SigProc (SSA)
		SigProc (SSA)
		SigProc (SSA)
7.		Supervised learning (LDA)
		Supervised learning (LDA)
		Supervised learning (LDA)
8.		Kernel methods (SVM, Kernel PCA)
		Kernel methods (SVM, Kernel PCA)
		Kernel methods (SVM, Kernel PCA)
9.		Kernel methods (Regularization & LDA)
		Kernel methods (Regularization & LDA)
		Kernel methods (Regularization & LDA)
10.		Kernel methods (SVM, Kernel PCA)
		Kernel methods (SVM, Kernel PCA)
		Kernel methods (SVM, Kernel PCA)
		Kernel methods (SVM, Kernel PCA)
11.		Brain-Computer Interfacing (Motor imagery, Speller paradigms)
		Brain-Computer Interfacing (Motor imagery, Speller paradigms)
12.		BCI applications (car-racer experiment, quality assessment)
		BCI applications (car-racer experiment, quality assessment)