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. Methods in neuronal modeling: from ions to netw...
: 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
Addresses neural excitability, spike train analysis, small networks, auditory networks, and large-scale cortical simulations. The second edition of
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 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