An Introductory Course in Computational Neuroscience - Image 1

Price loading...

MIT Press An Introductory Course in Computational Neuroscience

Name: An Introductory Course in Computational Neuroscience
Brand: MIT Press

White

Computer Science

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Product Specifications

Brand: MIT Press
Colour: White
Format: hardcover
ASIN: 0262038250
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 12 October 2018
Listed Since: 26 March 2018

Barcode

No barcode data available

MIT Press An Introductory Course in Computational Neuroscience

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Principles of Computational Modelling in Neuroscience

Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition

Fundamentals of Computational Neuroscience

Principles of Computational Modelling in Neuroscience

MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

Tutorial on Neural Systems Modeling

Introduction to Modeling Cognitive Processes

An Introduction to Modeling Neuronal Dynamics: 66 (Texts in Applied Mathematics, 66)

Methods in Neuronal Modeling, second edition: From Ions to Networks (Computational Neuroscience Series)

Fundamentals of Computational Neuroscience (3rd Edition): Third Edition

Computational Neuroscience: A First Course: 2 (Springer Series in Bio-/Neuroinformatics, 2)

Theoretical Neuroscience – Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience Series)

Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

Springer Coherent Behavior in Neuronal Networks - Book 3

Computational Neuroscience and Cognitive Modelling: A Student′s Introduction to Methods and Procedures

Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain (A Bradford Book)

Computational Neuroscience: Realistic Modeling for Experimentalists (Frontiers in Neuroscience)

Demystifying the Brain: A Computational Approach

Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics

Computational Neuroscience and Cognitive Modelling: A Student's Introduction to Methods and Procedures

Machine Learning for Neuroscience: A Systematic Approach

Analysis of Parallel Spike Trains: 7 (Springer Series in Computational Neuroscience, 7)

Theoretical Neuroscience: Understanding Cognition

Principles of Neural Coding