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

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 numerical methods for solving neuronal equations. Key Methodological Themes Methods in neuronal modeling: from ions to netw...

Addresses neural excitability, spike train analysis, small networks, auditory networks, and large-scale cortical simulations. The book consists of 14 chapters authored by

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 It provides a systematic approach to modeling the

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

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