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

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

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. : Focuses on tightly linking mathematical models to

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

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 kinetics and calcium dynamics to larger, complex computational structures.