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- 000 02356cam a2200325 i 4500
- 008 200402s2020 enka b 001 0 eng d
- 020 __ |a 9781108493703: |c CNY584.00 |q hardback
- 020 __ |a 9781108642989 |q epub
- 040 __ |a DLC |b eng |c DLC |e rda
- 050 00 |a QP357.5 |b .B54 2020
- 100 1_ |a Bielza, Concha, |e author.
- 245 10 |a Data-driven computational neuroscience : |b machine learning and statistical models / |c Concha Bielza, Universidad Polit茅cnica de Madrid, Pedro Larranaga, Universidad Polit茅cnica de Madrid.
- 260 __ |a Cambridge ; |a New York, NY : |b Cambridge University Press, |c 2020.
- 300 __ |a 708 pages : |b illustrations ; |c 26 cm
- 336 __ |a text |2 rdacontent
- 337 __ |a unmediated |2 rdamedia
- 338 __ |a volume |2 rdacarrier
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered"-- |c Provided by publisher.
- 650 _0 |a Neurosciences |x Data processing.
- 650 _0 |a Neurosciences |x Statistical methods.
- 700 1_ |a Larranaga, Pedro, |d 1958 |e author.