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Update comments-on-theoretical-neuroscience-books.md #76

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Expand Up @@ -8,8 +8,7 @@ title: Comments on Theoretical Neuroscience Books
6. Arbib, M. A. (ed.) (1995). _The handbook of brain theory and neural networks_. MIT Press.
7. Kandel, E. R., J. H. Schwartz, and T. M. Jessell (eds.) (1991). _Principles of neural science_. Third Edition. Elsevier.

## 1. Spikes: Exploring the neural
code_._
## 1. Spikes: Exploring the neural code

### 1.1 Overview

Expand Down Expand Up @@ -45,8 +44,7 @@ An additional strength is the many mathematical appendices provided for those
wishing to get an in-depth look at the methods, assumptions, and tools used
for generating the results discussed in the main text.

## 2. Spikes, decisions, and actions:
Dynamical foundations of neuroscience
## 2. Spikes, decisions, and actions: Dynamical foundations of neuroscience

### 2.1 Overview

Expand Down Expand Up @@ -83,8 +81,7 @@ exposition of the methods of reduction from high dimensional single cell
models is most useful. Nowhere else have we found such a good summary of the
literature in this area.

## 3. The book of Genesis: Exploring
realistic neural models with the GEneral NEural SImulation System
## 3. The book of Genesis: Exploring realistic neural models with the GEneral NEural SImulation System

### 3.1 Overview

Expand Down Expand Up @@ -119,8 +116,7 @@ single neuronal cells. This kind of background is very important to have in
order to communicate effectively with more biologically oriented computational
neuroscientists.

## 4. Biophysics of computation:
Information processing in single neurons
## 4. Biophysics of computation: Information processing in single neurons

### 4.1 Overview

Expand Down Expand Up @@ -151,8 +147,7 @@ Seldom are so many of the important issues brought together in a single
volume. For those wanting to know what computational neuroscientists are
interested regarding single cells, this book is an unmatched resource.

## 5. Methods in neuronal modeling: From
synapses to networks
## 5. Methods in neuronal modeling: From synapses to networks

### 5.1 Overview

Expand All @@ -179,8 +174,7 @@ good background reading for a number of subjects still central to the
discipline. The main weakness, from our point of view, is the lack of articles
on theoretical analysis of systems level networks.

## 6. The handbook of brain theory and
neural networks
## 6. The handbook of brain theory and neural networks

### 6.1 Overview

Expand Down