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Python in Neuroscience

2015-07-23 Neurosciences. Biological psychiatry. Neuropsychiatry
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Release : 2015-07-23
Genre : Neurosciences. Biological psychiatry. Neuropsychiatry
Kind : eBook
Book Rating : 089/5 ( reviews)

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Book Synopsis Python in Neuroscience by : Eilif Muller

Download or read book Python in Neuroscience written by Eilif Muller. This book was released on 2015-07-23. Available in PDF, EPUB and Kindle. Book excerpt: 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 - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.

Case Studies in Neural Data Analysis

2016-11-04 Science
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Release : 2016-11-04
Genre : Science
Kind : eBook
Book Rating : 378/5 ( reviews)

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Book Synopsis Case Studies in Neural Data Analysis by : Mark A. Kramer

Download or read book Case Studies in Neural Data Analysis written by Mark A. Kramer. This book was released on 2016-11-04. Available in PDF, EPUB and Kindle. Book excerpt: 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. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary for real-world neural data analysis. The book begins with an introduction to MATLAB, the most common programming platform in neuroscience, which is used in the book. (Readers familiar with MATLAB can skip this chapter and might decide to focus on data type or method type.) The book goes on to cover neural field data and spike train data, spectral analysis, generalized linear models, coherence, and cross-frequency coupling. Each chapter offers a stand-alone case study that can be used separately as part of a targeted investigation. The book includes some mathematical discussion but does not focus on mathematical or statistical theory, emphasizing the practical instead. References are included for readers who want to explore the theoretical more deeply. The data and accompanying MATLAB code are freely available on the authors' website. The book can be used for upper-level undergraduate or graduate courses or as a professional reference. A version of this textbook with all of the examples in Python is available on the MIT Press website.

Neural Data Science

2017-02-24 Science
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Release : 2017-02-24
Genre : Science
Kind : eBook
Book Rating : 98X/5 ( reviews)

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Book Synopsis Neural Data Science by : Erik Lee Nylen

Download or read book Neural Data Science written by Erik Lee Nylen. This book was released on 2017-02-24. Available in PDF, EPUB and Kindle. Book excerpt: 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 MATLAB and Python in parallel - Introduces the canonical data analysis cascade, standardizing the data analysis flow - Presents tactics that strategically, tactically, and algorithmically help improve the organization of code

Python in Neuroscience

2015
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Author :
Release : 2015
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Python in Neuroscience by :

Download or read book Python in Neuroscience written by . This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: 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 - stimulus generation - parameter search and optimization - visualization - VLSI hardware interfacing. Moreover, we seek to provide a representative overview of existing mature Python modules for neuroscience and neuroinformatics, to demonstrate a critical mass and show that Python is an appropriate choice of interpreter interface for future neuroscience software development.

Modeling Neural Circuits Made Simple with Python

2024 Neural circuitry
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Release : 2024
Genre : Neural circuitry
Kind : eBook
Book Rating : 741/5 ( reviews)

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Book Synopsis Modeling Neural Circuits Made Simple with Python by : Robert Rosenbaum (Researcher in computational neuroscience)

Download or read book Modeling Neural Circuits Made Simple with Python written by Robert Rosenbaum (Researcher in computational neuroscience). This book was released on 2024. Available in PDF, EPUB and Kindle. Book excerpt: "Rosenbaum explains at an advanced undergrad level, the core mathematical and computational models of neurons and networks of neurons, focusing primarily on neurons in the cerebral cortex"--

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