Includes chapters on analog VLSI hardware emulation and numerical methods for solving neuronal equations. Key Methodological Themes
: Covers a wide range of biological scales, from passive dendritic trees to large networks mimicking the mammalian cortex. Methods in neuronal modeling: from ions to netw...
: Connects detailed biophysical properties like ion channel kinetics and calcium dynamics to larger, complex computational structures. Includes chapters on analog VLSI hardware emulation and
Addresses neural excitability, spike train analysis, small networks, auditory networks, and large-scale cortical simulations. Overview of Contents
The second edition of , edited by Christof Koch and Idan Segev , is a foundational handbook for computational neuroscience . It provides a systematic approach to modeling the nervous system across multiple scales, starting from the biophysics of individual ion channels and progressing to the complex dynamics of large-scale neuronal networks. Overview of Contents