This book is designed as an introduction to neural dynamics through an intuitive exploration of fundamental dynamic motifs- the recurring dynamical concepts essential for understanding computational neuroscience. This concise hands-on guide bridges the gap between mathematics and neuroscience providing clear explanations of the key dynamical systems concepts that appear repeatedly in the computational/mathematical neuroscience literature. Key Features: • Geometric and intuitive descriptions that minimize mathematical formality while preserving clarity Interactive Explorations that reinforce concepts through computer-based exercises Complete solutions to all Explorations allowing for self-guided learning • Accessible approach suitable for both experimental neuroscientists and mathematicians • Focused coverage of essential concepts that serve as building blocks for understanding complex neural models This book serves as an ideal entry point into computational neuroscience for two distinct audiences: experimental neuroscientists seeking to understand computational techniques for collaboration and mathematicians or mathematics students looking to apply their knowledge to neuroscience. Through its unique combination of concise text and hands-on exploration readers will quickly develop the knowledge and skills needed to navigate the computational neuroscience literature with confidence. |Mathematical Concepts in Single-Neuron Dynamics
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