Analyzing neural time series data : theory and practice /
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conce...
Saved in:
Main Author: | Cohen, Mike X., 1979- |
---|---|
Format: | Specialized reference book |
Language: | English |
Published: |
London :
The MIT Press,
2014.
|
Series: | Issues in clinical and cognitive neuropsychology
|
Subjects: | |
Online Access: | https://dlib.phenikaa-uni.edu.vn/handle/PNK/1547 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks
by: Erol, Egrioglu, et al.
Published: (2023) -
Tìm hiểu bài toán dự báo chuỗi thời gian trong tương lai sử dụng mô hình Neural Network và Deep Learning
by: Bùi Huy Quyền, Anh, et al.
Published: (2023) -
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
by: Panagiotis G.Asteris, et al.
Published: (2021) -
Prediction Model for Tensile Modulus of Carbon Nanotube–Polymer Composites
by: Tien,Thinh Le, et al.
Published: (2022) -
Prediction Model for Tensile Modulus of Carbon Nanotube–Polymer Composites
by: Tien Thinh, Le, et al.
Published: (2022)