Description: About this productProduct InformationA 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 cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a "flipped" or "inverted" teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.Product IdentifiersPublisherThe MIT PressISBN-100262038250ISBN-139780262038256eBay Product ID (ePID)18038282447Product Key FeaturesBook TitleIntroductory Course in Computational NeuroscienceAuthorPaul MillerFormatHardcoverLanguageEnglishTopicCognitive Neuroscience & Cognitive Neuropsychology, Life Sciences / NeurosciencePublication Year2018GenrePsychology, ScienceNumber of Pages408 PagesDimensionsItem Length9.2in.Item Height1.2in.Item Width7.2in.Item Weight31.7 OzAdditional Product FeaturesAge Range18Lc Classification NumberQp357.5.M55 2018Copyright Date2018Target AudienceTradeLccn2018-003118Dewey Decimal612.8/233SeriesComputational Neuroscience Ser.Dewey Edition23IllustratedYes
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Narrative Type: Behavioral Sciences
Type: Book
Intended Audience: N/A
Book Title: Introductory Course in Computational Neuroscience
Number of Pages: 408 Pages
Language: English
Publisher: MIT Press
Item Height: 1 in
Publication Year: 2018
Topic: Cognitive Neuroscience & Cognitive Neuropsychology, Life Sciences / Neuroscience
Illustrator: Yes
Genre: Science, Psychology
Item Weight: 28.7 Oz
Item Length: 9.3 in
Author: Paul Miller
Item Width: 7.3 in
Book Series: Computational Neuroscience Ser.
Format: Hardcover
