Methods In Neuronal Modeling: From Ions To Netw... Apr 2026

: Connects detailed biophysical properties like ion channel kinetics and calcium dynamics to larger, complex computational structures.

: 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...

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 : Connects detailed biophysical properties like ion channel

Addresses neural excitability, spike train analysis, small networks, auditory networks, and large-scale cortical simulations. It provides a systematic approach to modeling the

Covers synaptic transmission, cable theory for dendrites, compartmental models, calcium dynamics, and active dendrites.

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: