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Analysis of Neural Data

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  • Author : Anonim
  • Publisher : Anonim
  • Genre :
  • Total Pages : 123 pages
  • ISBN :
  • PDF File Size : 53,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Analysis of Neural Data

Analysis of Neural Data
  • Publisher : Springer
  • File Size : 39,8 Mb
  • Release Date : 08 July 2014
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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,

Analyzing Neural Time Series Data

Analyzing Neural Time Series Data
  • Publisher : MIT Press
  • File Size : 39,6 Mb
  • Release Date : 17 January 2014
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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

Case Studies in Neural Data Analysis

Case Studies in Neural Data Analysis
  • Publisher : MIT Press
  • File Size : 21,8 Mb
  • Release Date : 04 November 2016
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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

Neural Data Science

Neural Data Science
  • Publisher : Academic Press
  • File Size : 34,8 Mb
  • Release Date : 24 February 2017
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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

Advanced Data Analysis in Neuroscience

Advanced Data Analysis in Neuroscience
  • Publisher : Springer
  • File Size : 46,6 Mb
  • Release Date : 15 September 2017
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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,

Sensitivity Analysis for Neural Networks

Sensitivity Analysis for Neural Networks
  • Publisher : Springer Science & Business Media
  • File Size : 54,5 Mb
  • Release Date : 09 November 2009
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Artificial neural networks are used to model systems that receive inputs and produce outputs. The relationships between the inputs and outputs and the representation parameters are critical issues in the

Neuronal Dynamics

Neuronal Dynamics
  • Publisher : Cambridge University Press
  • File Size : 22,7 Mb
  • Release Date : 24 July 2014
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This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Data-Driven Computational Neuroscience

Data-Driven Computational Neuroscience
  • Publisher : Cambridge University Press
  • File Size : 26,8 Mb
  • Release Date : 26 November 2020
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Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.

Spikes

Spikes
  • Publisher : MIT Press (MA)
  • File Size : 44,6 Mb
  • Release Date : 19 May 1997
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Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems,