Methods In Neuronal Modeling: From Ions To Netw... -

Includes chapters on analog VLSI hardware emulation and numerical methods for solving neuronal equations. Key Methodological Themes

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 Methods in neuronal modeling: from ions to netw...

The book consists of 14 chapters authored by experts, covering a progression from subcellular and single-cell modeling to network-level simulations and specialized numerical methods: Includes chapters on analog VLSI hardware emulation and