Methods and Models in Neurophysics: Lecture Notes of the Les Houches Summer School 2003 (Volume 80) (Les Houches, Volume 80) - Image 1

Price loading...

Elsevier Methods and Models in Neurophysics: Lecture Notes of the Les Houches Summer School 2003 (Volume 80) (Les Houches, Volume 80)

Name: Methods and Models in Neurophysics: Lecture Notes of the Les Houches Summer School 2003 (Volume 80) (Les Houches, Volume 80)
Brand: Elsevier

AI & Machine Learning

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

Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.

Product Specifications

Brand: Elsevier
Format: hardcover
ASIN: 0444517928
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 15 December 2004
Listed Since: 05 February 2007

Barcode

No barcode data available

Elsevier Methods and Models in Neurophysics: Lecture Notes of the Les Houches Summer School 2003 (Volume 80) (Les Houches, Volume 80)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Neuroscience for Clinicians: Evidence, Models, and Practice

Modeling in the Neurosciences: From Ionic Channels to Neural Networks

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

New Techniques in Systems Neuroscience (Biological and Medical Physics, Biomedical Engineering)

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

Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics

Neuroscience: A Mathematical Primer

Neuroscience: A Mathematical Primer

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

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

Principles of Computational Modelling in Neuroscience

Modeling Brain Function: The World of Attractor Neural Networks

Psychophysics Beyond Sensation: Laws and Invariants of Human Cognition (Scientific Psychology Series)

Guide to Research Techniques in Neuroscience

Neuroscience: Exploring the Brain

Principles of Computational Modelling in Neuroscience

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

Mathematics for Neuroscientists

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

Theoretical Neuroscience: Understanding Cognition

Models of Neurons and Perceptrons: Selected Problems and Challenges: 770 (Studies in Computational Intelligence, 770)

Mathematical Neuroscience

An Introductory Course in Computational Neuroscience

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