Methods in Neuronal Modeling provides a technical foundation for simulating the electrical activity of individual nerve cells and larger neural circuits. Christof Koch and Idan Segev organize the text around the cable equation, compartmental modeling, and the biophysics of excitable membranes. The chapters detail how to mathematically represent dendritic trees, calcium signaling, and synaptic interactions using differential equations. Specific focus is placed on the integration of synaptic inputs and how these microscopic processes influence the collective behavior of biological neural networks.
This volume serves physicists, neuroscientists, and engineers transition from qualitative observations to quantitative simulations. Readers gain the mathematical tools necessary to build computer models that mimic the firing patterns of actual neurons. It functions as a laboratory manual for computational neuroscience, providing the exact parameters and algorithms needed to bridge the gap between cellular anatomy and functional dynamics. By studying these methods, the researcher learns to test hypotheses about brain function through rigorous numerical analysis.
- Published
- 1989
- Language
- EN
