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Table of Contents
1. Excitable Membranes and Neural Conduction
2. Receptive Fields and the Specificity of Neuronal Firing
3. Fourier Analysis for Neuroscientists
Summary
This document is a comprehensive guide to computational neuroscience, focusing on topics such as excitable membranes, receptive fields, and Fourier analysis. It provides insights into the mathematical modeling of neural systems and their information processing mechanisms. The author, Hanspeter A. Mallot, along with other contributors, presents a detailed overview suitable for both specialists and non-experts in the field. The book covers essential concepts and methods used in computational neuroscience, making it a valuable resource for understanding the brain's functioning and computational principles.