MATLAB for Neuroscientists

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills—will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners. The first complete volume on MATLAB focusing on neuroscience and psychology applications Problem-based approach with many examples from neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful tutorial approach, by authors who are award-winning educators with strong teaching experience

Produk Detail:

  • Author : Pascal Wallisch
  • Publisher : Academic Press
  • Pages : 570 pages
  • ISBN : 0123838371
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMATLAB for Neuroscientists

MATLAB for Neuroscientists

MATLAB for Neuroscientists
  • Author : Pascal Wallisch,Michael E. Lusignan,Marc D. Benayoun,Tanya I. Baker,Adam Seth Dickey,Nicholas G. Hatsopoulos
  • Publisher : Academic Press
  • Release : 09 January 2014
GET THIS BOOKMATLAB for Neuroscientists

MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional

MATLAB for Neuroscientists

MATLAB for Neuroscientists
  • Author : Pascal Wallisch,Michael E. Lusignan,Marc D. Benayoun,Tanya I. Baker,Adam Seth Dickey,Nicholas G. Hatsopoulos
  • Publisher : Academic Press
  • Release : 28 July 2010
GET THIS BOOKMATLAB for Neuroscientists

This is the first comprehensive teaching resource and textbook for the teaching of MATLAB in the Neurosciences and in Psychology. MATLAB is unique in that it can be used to learn the entire empirical and experimental process, including stimulus generation, experimental control, data collection, data analysis and modeling. Thus a wide variety of computational problems can be addressed in a single programming environment. The idea is to empower advanced undergraduates and beginning graduate students by allowing them to design and

Mathematics for Neuroscientists

Mathematics for Neuroscientists
  • Author : Fabrizio Gabbiani,Steven James Cox
  • Publisher : Academic Press
  • Release : 21 March 2017
GET THIS BOOKMathematics for Neuroscientists

Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. Fully revised material and corrected text Additional chapters

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
  • Author : Wim van Drongelen
  • Publisher : Elsevier
  • Release : 18 December 2006
GET THIS BOOKSignal Processing for Neuroscientists

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging

An Introductory Course in Computational Neuroscience

An Introductory Course in Computational Neuroscience
  • Author : Paul Miller
  • Publisher : MIT Press
  • Release : 09 October 2018
GET THIS BOOKAn Introductory Course in Computational Neuroscience

A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons

Neural Data Science

Neural Data Science
  • Author : Erik Lee Nylen,Pascal Wallisch
  • Publisher : Academic Press
  • Release : 24 February 2017
GET THIS BOOKNeural Data Science

A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. Includes discussions of both

Case Studies in Neural Data Analysis

Case Studies in Neural Data Analysis
  • Author : Mark A. Kramer,Uri T. Eden
  • Publisher : MIT Press
  • Release : 04 November 2016
GET THIS BOOKCase Studies in Neural Data Analysis

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data.

Analysis of Neural Data

Analysis of Neural Data
  • Author : Robert E. Kass,Uri T. Eden,Emery N. Brown
  • Publisher : Springer
  • Release : 08 July 2014
GET THIS BOOKAnalysis of Neural Data

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among

Analyzing Neural Time Series Data

Analyzing Neural Time Series Data
  • Author : Mike X Cohen
  • Publisher : MIT Press
  • Release : 17 January 2014
GET THIS BOOKAnalyzing Neural Time Series Data

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 conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic

MATLAB for Behavioral Scientists

MATLAB for Behavioral Scientists
  • Author : David A. Rosenbaum,Brad Wyble
  • Publisher : Psychology Press
  • Release : 06 December 2012
GET THIS BOOKMATLAB for Behavioral Scientists

Behavioral scientists use computers in virtually all their work—from data collection to analysis, presentation, and simulation. However, there has been no book written to date specifically for behavioral scientists on how to program with a general-purpose programming language. MATLAB for Behavioral Scientists is a tremendously valuable textbook that walks behavioral scientists through the computer programming process, using terms that are relevant to their concerns and appreciating their special programming needs. Author David A. Rosenbaum, a cognitive psychologist with a

Programming Behavioral Experiments with MATLAB and Psychtoolbox

Programming Behavioral Experiments with MATLAB and Psychtoolbox
  • Author : Erman Misirlisoy
  • Publisher : Routledge
  • Release : 10 November 2016
GET THIS BOOKProgramming Behavioral Experiments with MATLAB and Psychtoolbox

Human behavior is fascinating so it’s no surprise that psychologists and neuroscientists spend their lives designing rigorous experiments to understand it. MATLAB is one of the most widely used pieces of software for designing and running behavioral experiments, and it opens up a world of quick and flexible experiment programming. This book offers a step-by-step guide to using MATLAB with Psychtoolbox to create customisable experiments. Its pocket size and simple language allow you to get straight to the point

Advanced Data Analysis in Neuroscience

Advanced Data Analysis in Neuroscience
  • Author : Daniel Durstewitz
  • Publisher : Springer
  • Release : 15 September 2017
GET THIS BOOKAdvanced Data Analysis in Neuroscience

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear

MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists
  • Author : Andrew King,Paul Aljabar
  • Publisher : Academic Press
  • Release : 14 June 2017
GET THIS BOOKMATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn introduction to the fundamentals of computer programming in MATLAB. This book explains the principles of good programming practice, while demonstrating how to write efficient and robust code that analyzes and visualizes biomedical data. Aimed at the biomedical engineer, biomedical scientist, and medical researcher with little or no computer programming experience, it is an excellent resource for learning the principles and practice of computer programming using MATLAB. This book enables the

Network Neuroscience

Network Neuroscience
  • Author : Flavio Fröhlich
  • Publisher : Academic Press
  • Release : 20 September 2016
GET THIS BOOKNetwork Neuroscience

Studying brain networks has become a truly interdisciplinary endeavor, attracting students and seasoned researchers alike from a wide variety of academic backgrounds. What has been lacking is an introductory textbook that brings together the different fields and provides a gentle introduction to the major concepts and findings in the emerging field of network neuroscience. Network Neuroscience is a one-stop-shop that is of equal use to the neurobiologist, who is interested in understanding the quantitative methods employed in network neuroscience, and

Python in Neuroscience

Python in Neuroscience
  • Author : Eilif Muller,James A. Bednar,Markus Diesmann,Marc-Oliver Gewaltig,Michael Hines,Andrew P. Davison
  • Publisher : Frontiers Media SA
  • Release : 23 July 2015
GET THIS BOOKPython in Neuroscience

Python is rapidly becoming the de facto standard language for systems integration. Python has a large user and developer-base external to theneuroscience community, and a vast module library that facilitates rapid and maintainable development of complex and intricate systems. In this Research Topic, we highlight recent efforts to develop Python modules for the domain of neuroscience software and neuroinformatics: - simulators and simulator interfaces - data collection and analysis - sharing, re-use, storage and databasing of models and data -