Neurodynamics: An Applied Mathematics Perspective: 75 (Texts in Applied Mathematics, 75) - Image 1

£35.00

Springer Neurodynamics: An Applied Mathematics Perspective: 75 (Texts in Applied Mathematics, 75)

Name: Neurodynamics: An Applied Mathematics Perspective: 75 (Texts in Applied Mathematics, 75)
Brand: Springer
Price: 35.0 GBP
Availability: InStock

Biological Science

It has never been this cheap. We have no record of a lower price.

£35 today · cheaper than every other day in the last 13 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 293 days • 293 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 293 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £58 (98 days, 33.4%)

Price range: £35 - £62

Price levels: 6 different prices over 293 days

Description

This book is about the dynamics of neural systems and should be suitable for those with a background in mathematics, physics, or engineering who want to see how their knowledge and skill sets can be applied in a neurobiological context. No prior knowledge of neuroscience is assumed, nor is advanced understanding of all aspects of applied mathematics! Rather, models and methods are introduced in the context of a typical neural phenomenon and a narrative developed that will allow the reader to test their understanding by tackling a set of mathematical problems at the end of each chapter. The emphasis is on mathematical- as opposed to computational-neuroscience, though stresses calculation above theorem and proof. The book presents necessary mathematical material in a digestible and compact form when required for specific topics. The book has nine chapters, progressing from the cell to the tissue, and an extensive set of references. It includes Markov chain models for ions,differential equations for single neuron models, idealised phenomenological models, phase oscillator networks, spiking networks, and integro-differential equations for large scale brain activity, with delays and stochasticity thrown in for good measure. One common methodological element that arises throughout the book is the use of techniques from nonsmooth dynamical systems to form tractable models and make explicit progress in calculating solutions for rhythmic neural behaviour, synchrony, waves, patterns, and their stability. This book was written for those with an interest in applied mathematics seeking to expand their horizons to cover the dynamics of neural systems. It is suitable for a Masters level course or for postgraduate researchers starting in the field of mathematical neuroscience.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3031219155
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 11 May 2023
Listed Since: 20 October 2022

Barcode

No barcode data available

Springer Neurodynamics: An Applied Mathematics Perspective: 75 (Texts in Applied Mathematics, 75)

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

An Introductory Course in Computational Neuroscience

Mathematical Foundations of Neuroscience: 35 (Interdisciplinary Applied Mathematics, 35)

Mathematical Neuroscience

Mathematical Foundations of Neuroscience: 35 (Interdisciplinary Applied Mathematics, 35)

Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience)

Neuroscience: A Mathematical Primer

Neuroscience: A Mathematical Primer

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

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

Waves in Neural Media: From Single Neurons to Neural Fields (Lecture Notes on Mathematical Modelling in the Life Sciences)

Coherent Behavior in Neuronal Networks: 3 (Springer Series in Computational Neuroscience, 3)

Principles of Brain Dynamics: Global State Interactions (Computational Neuroscience Series)

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

Fundamentals of Computational Neuroscience

Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields: 39 (Studies in Systems, Decision and Control, 39)

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

Modeling in the Neurosciences: From Ionic Channels to Neural Networks

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

From Brain Dynamics to the Mind: Spatiotemporal Neuroscience

Springer Estimating Functional Connectivity and Topology Book

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

Coordinated Activity in the Brain: Measurements and Relevance to Brain Function and Behavior: 2 (Springer Series in Computational Neuroscience, 2)

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

Principles of Computational Modelling in Neuroscience