Description: Data-Driven Computational Neuroscience: Machine Learning and Statistical Models [Hardcover] Bielza, Concha and Larra�aga, Pedro Product Overview 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. Read more Details Publisher : Cambridge University Press; 1st edition (October 29, 2020) Language : English Hardcover : 708 pages ISBN-10 : 110849370X ISBN-13 : 03 Item Weight : 3.25 pounds Dimensions : 7 x 1.75 x 10 inches Best Sellers Rank: #4,767,873 in Books (See Top 100 in Books) #1,030 in Computer Vision & Pattern Recognition #1,206 in Neuroscience (Books) #1,030 in Computer Vision & Pattern Recognition #1,206 in Neuroscience (Books) Stock Photos Please Note: All of our book listings use stock photos unless otherwise stated. Please read our descriptions for accurate conditions and editions, don't use the photos! Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 110849370X
ISBN10: 110849370X
ISBN13: 9781108493703
EAN: 9781108493703
MPN: does not apply
Brand: Cambridge University Press
GTIN: 09781108493703
Number of Pages: 708 Pages
Language: English
Publication Name: Data-Driven Computational Neuroscience : Machine Learning and Statistical Models
Publisher: Cambridge University Press
Publication Year: 2020
Item Height: 1.7 in
Subject: Life Sciences / Anatomy & Physiology (See Also Life Sciences / Human Anatomy & Physiology), Computer Vision & Pattern Recognition
Item Weight: 52.6 Oz
Type: Textbook
Item Length: 10.2 in
Subject Area: Computers, Science
Author: Concha Bielza, Pedro Larranaga
Item Width: 7.3 in
Format: Hardcover