It explores what happens when neurons are connected in a mass. It covers mean-field theories, population dynamics, and the transition from microscopic spiking to macroscopic brain rhythms.
This book is a comprehensive, highly accessible guide to theoretical neuroscience that masterfully connects the microscopic properties of single neurons to the macroscopic dynamics of large-scale networks and cognitive functions. It is highly recommended for advanced undergraduate students, graduate students, and researchers in physics, mathematics, computer science, and biology. 📘 Book Structure and Core Themes Neuronal Dynamics: From Single Neurons to Netwo...
The textbook Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition by Wulfram Gerstner, Werner M. Kistler, Richard Naud, and Liam Paninski is widely considered a foundational masterpiece in computational neuroscience. It acts as a bridge between biophysical reality and abstract mathematical modeling. 🎯 Direct Answer It explores what happens when neurons are connected