An Introductory Course in Computational Neuroscience

 
 
The MIT Press; Computational Neuroscience Series
  • erschienen am 9. Oktober 2018
  • |
  • 408 Seiten
 
E-Book | ePUB mit Adobe-DRM | Systemvoraussetzungen
978-0-262-34756-3 (ISBN)
 
A 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.

  • Englisch
  • Cambridge
  • |
  • USA
MIT Press
  • Reflowable
127 B&W ILLUS.
  • 13,80 MB
978-0-262-34756-3 (9780262347563)
weitere Ausgaben werden ermittelt
Paul Miller is Associate Professor in the Department of Biology and the Volen National Center for Complex Systems at Brandeis University, where he is also Undergraduate Advising Head for the Neuroscience Program.
  • Intro
  • Series page
  • Title page
  • Copyright page
  • Table of Contents
  • Series Foreword
  • Acknowledgments
  • Preface
  • 1: Preliminary Material
  • 2: The Neuron and Minimal Spiking Models
  • 3: Analysis of Individual Spike Trains
  • 4: Conductance-Based Models
  • 5: Connections between Neurons
  • 6: Firing-Rate Models and Network Dynamics
  • 7: An Introduction to Dynamical Systems
  • 8: Learning and Synaptic Plasticity
  • 9: Analysis of Population Data
  • References
  • Index
  • Computational Neuroscience

Dateiformat: ePUB
Kopierschutz: Adobe-DRM (Digital Rights Management)

Systemvoraussetzungen:

Computer (Windows; MacOS X; Linux): Installieren Sie bereits vor dem Download die kostenlose Software Adobe Digital Editions (siehe E-Book Hilfe).

Tablet/Smartphone (Android; iOS): Installieren Sie bereits vor dem Download die kostenlose App Adobe Digital Editions (siehe E-Book Hilfe).

E-Book-Reader: Bookeen, Kobo, Pocketbook, Sony, Tolino u.v.a.m. (nicht Kindle)

Das Dateiformat ePUB ist sehr gut für Romane und Sachbücher geeignet - also für "fließenden" Text ohne komplexes Layout. Bei E-Readern oder Smartphones passt sich der Zeilen- und Seitenumbruch automatisch den kleinen Displays an. Mit Adobe-DRM wird hier ein "harter" Kopierschutz verwendet. Wenn die notwendigen Voraussetzungen nicht vorliegen, können Sie das E-Book leider nicht öffnen. Daher müssen Sie bereits vor dem Download Ihre Lese-Hardware vorbereiten.

Bitte beachten Sie bei der Verwendung der Lese-Software Adobe Digital Editions: wir empfehlen Ihnen unbedingt nach Installation der Lese-Software diese mit Ihrer persönlichen Adobe-ID zu autorisieren!

Weitere Informationen finden Sie in unserer E-Book Hilfe.


Download (sofort verfügbar)

46,49 €
inkl. 7% MwSt.
Download / Einzel-Lizenz
ePUB mit Adobe-DRM
siehe Systemvoraussetzungen
E-Book bestellen