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

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

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

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: 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.

: Covers a wide range of biological scales, from passive dendritic trees to large networks mimicking the mammalian cortex. The second edition of , edited by Christof

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

: Connects detailed biophysical properties like ion channel kinetics and calcium dynamics to larger, complex computational structures. The book consists of 14 chapters authored by

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