Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition
by Wulfram Gerstner, Werner M. Kistler, Richard Naud, Liam Paninski
Neuronal Dynamics provides a thorough exploration of how single neurons function and interact in networks, leading to models of cognition. Authored by leading experts, it combines mathematical rigor with biological relevance, offering essential tools for understanding brain dynamics in computational neuroscience.
About This Book
This book delves into the mathematical and computational foundations of neuronal dynamics, starting with the basic properties of single neurons and progressing to intricate network behaviors.
It covers essential models used in neuroscience to simulate and understand how neurons interact within systems, providing tools for analyzing cognitive processes.
The authors present a structured approach to building models that capture the dynamics of neural populations, emphasizing both theoretical insights and practical applications.
Designed for researchers and students, the text integrates concepts from physics, mathematics, and biology to offer a unified view of brain function modeling.
Key topics include stochastic processes, synaptic interactions, and population-level dynamics, equipping readers with methods to study cognition through computational neuroscience.
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