---
product_id: 495392039
title: "Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series)"
price: "KSh19496"
currency: KES
in_stock: true
reviews_count: 6
url: https://www.desertcart.co.ke/products/495392039-dynamical-systems-in-neuroscience-the-geometry-of-excitability-and-bursting
store_origin: KE
region: Kenya
---

# Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series)

**Price:** KSh19496
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series)
- **How much does it cost?** KSh19496 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co.ke](https://www.desertcart.co.ke/products/495392039-dynamical-systems-in-neuroscience-the-geometry-of-excitability-and-bursting)

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## Description

Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series) : Izhikevich, Eugene M. M: desertcart.co.uk: Books

Review: Five Stars - Good
Review: I won't take any more stars because the book's content is great. Nevertheless, its printing quality (toner and paper) left me very disappointed. Firstly, the cover came with colour strokes; the printer was running low on ink and nothing was done about it. Secondly, the material feels cheap; I don't discourage recycled paper, but it feels as if my own finger's sweat will torn it apart. Lastly, it came curled; I don't know their storage strategy but it's clearly faulty.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 412,941 in Books ( See Top 100 in Books ) 751 in Neurology 2,680 in Medical Education (Books) 7,099 in Medicine & Nursing |
| Customer reviews | 4.6 4.6 out of 5 stars (56) |
| Dimensions  | 17.78 x 2.64 x 25.4 cm |
| Edition  | 24383rd |
| ISBN-10  | 0262514206 |
| ISBN-13  | 978-0262514200 |
| Item weight  | 839 g |
| Language  | English |
| Print length  | 458 pages |
| Publication date  | 15 Feb. 2010 |
| Publisher  | MIT Press |
| Reading age  | 18 years and up |

## Images

![Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience Series) - Image 1](https://m.media-amazon.com/images/I/711WHdZxTdL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Five Stars
*by A***R on 30 November 2015*

Good

### ⭐⭐⭐ Review
*by G***Z on 5 September 2023*

I won't take any more stars because the book's content is great. Nevertheless, its printing quality (toner and paper) left me very disappointed. Firstly, the cover came with colour strokes; the printer was running low on ink and nothing was done about it. Secondly, the material feels cheap; I don't discourage recycled paper, but it feels as if my own finger's sweat will torn it apart. Lastly, it came curled; I don't know their storage strategy but it's clearly faulty.

### ⭐⭐⭐⭐⭐ Review
*by S***A on 15 May 2016*

The author's incessant focus on providing geometrical insight into the mathematics is the most astonishing feature of this book. I cannot imagine a better introduction to quantitative and qualitative understanding of the dynamics of individual neurons. I read this book cover to cover (including ch10 which is online on the author's website) and it never got boring. This book gives you "the big picture" about neuron dynamics. The author also does an exquisite job at classifying different neuron models and showing "what really matters" about them. And at every step, information is provided about how to reproduce the figures (which is easy with MATLAB, Mathematica, or similar tools) so that you can verify your understanding and play around. There are tons of examples of specific neuron recordings and explanations in terms of the models being discussed. The preface and ch1 are available on the author's website [...] As a point of reference, Dayan & Abbott "Theoretical Neuroscience" has broader and deeper coverage of "computational neuroscience" than Izhikevich, but does not have the same kind of deep qualitative geometrical insight into neuron dynamics. I would consider it as a next step after reading this book. As a rule of thumb, if you are uncomfortable with the idea of using MATLAB, Mathematica, or a similar tool to plot a vector field or integrate a system of ODE, you will probably not benefit from the quantitative side of this book. But the book may still be useful for developing qualitative understanding.

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*Product available on Desertcart Kenya*
*Store origin: KE*
*Last updated: 2026-02-28*