Data Analysis in Neuroscience

Analysis of Post-Translational Modifications and Proteolysis in Neuroscience  eBooks & eLearning

Posted by Underaglassmoon at July 12, 2016
Analysis of Post-Translational Modifications and Proteolysis in Neuroscience

Analysis of Post-Translational Modifications and Proteolysis in Neuroscience
Humana Press | Neuroscience | August 9, 2016 | ISBN-10: 1493934708 | 270 pages | pdf | 8.54 mb

Editors: Grant, Jennifer Elizabeth, Li, Hong (Eds.)
Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts

Eeg/Erp Analysis With Python And Mne: An Introductory Course  eBooks & eLearning

Posted by ELK1nG at Feb. 28, 2024
Eeg/Erp Analysis With Python And Mne: An Introductory Course

Eeg/Erp Analysis With Python And Mne: An Introductory Course
Published 2/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.68 GB | Duration: 7h 51m

From Brain Signal Basics to Advanced Analysis

Analysis of Post-Translational Modifications and Proteolysis in Neuroscience  eBooks & eLearning

Posted by roxul at Nov. 8, 2018
Analysis of Post-Translational Modifications and Proteolysis in Neuroscience

Grant, Jennifer Elizabeth, Li, Hong, "Analysis of Post-Translational Modifications and Proteolysis in Neuroscience"
English | 2016 | ISBN-10: 1493934708 | 270 pages | EPUB | 4 MB

Case Studies in Neural Data Analysis: A Guide for the Practicing Neuroscientist  eBooks & eLearning

Posted by Jeembo at April 4, 2018
Case Studies in Neural Data Analysis: A Guide for the Practicing Neuroscientist

Case Studies in Neural Data Analysis: A Guide for the Practicing Neuroscientist by Mark A. Kramer, Uri T. Eden
English | 2016 | ISBN: 0262529378 | 384 Pages | PDF | 71.3 MB

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data.

Tensor Computation for Data Analysis  eBooks & eLearning

Posted by AvaxGenius at Sept. 12, 2021
Tensor Computation for Data Analysis

Tensor Computation for Data Analysis by Yipeng Liu
English | EPUB | 2022 | 347 Pages | ISBN : 3030743853 | 33.8 MB

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis.

Functional and Shape Data Analysis  eBooks & eLearning

Posted by interes at Nov. 20, 2016
Functional and Shape Data Analysis

Functional and Shape Data Analysis by Anuj Srivastava and Eric P Klassen
English | 2016 | ISBN: 149394018X | 447 pages | PDF | MB

A Practical Guide To Brain Data Analysis  eBooks & eLearning

Posted by Underaglassmoon at June 4, 2017
A Practical Guide To Brain Data Analysis

A Practical Guide To Brain Data Analysis
World Scientific | English | 2017 | ISBN-10: 9813144432 | 204 pages | PDF | 15.54 mb

by Joao Paulo Vieito (Author), Armando Freitas Da Rocha (Author), Carlos Thomaz (Author)

Functional and Shape Data Analysis (repost)  eBooks & eLearning

Posted by libr at Jan. 8, 2017
Functional and Shape Data Analysis (repost)

Functional and Shape Data Analysis by Anuj Srivastava and Eric P Klassen
English | 2016 | ISBN: 149394018X | 447 pages | PDF | 22 MB

Stochastic Methods in Neuroscience  eBooks & eLearning

Posted by DZ123 at Dec. 17, 2018
Stochastic Methods in Neuroscience

Carlo Laing, Gabriel J. Lord, "Stochastic Methods in Neuroscience"
English | 2009 | ISBN: 0199235074 | PDF | pages: 399 | 17.3 mb

Coursera - Computational Methods for Data Analysis  eBooks & eLearning

Posted by ParRus at Nov. 13, 2016
Coursera - Computational Methods for Data Analysis

Coursera - Computational Methods for Data Analysis
University of Washington with J. Nathan Kutz

WEBRip | English | MP4 | 960 x 540 | AVC ~171 kbps | 30.920 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 22:11:46 | 3.39 GB
Genre: eLearning Video / Data Analysis

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences. Brief review of statistical methods and their computational implementation for studying time series analysis, spectral analysis, filtering methods, principal component analysis, orthogonal mode decomposition, and image processing and compression.