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

Addresses neural excitability, spike train analysis, small networks, auditory networks, and large-scale cortical simulations.

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...

: Focuses on tightly linking mathematical models to experimental data, including the use of VLSI technology for hardware-based simulations. Addresses neural excitability

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

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