Description

Book Synopsis

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 SingleNeuron Dynamics

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    Order before 4pm today for delivery by Sat 25 Jul 2026.

    A Paperback by Richard Bertram

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      View other formats and editions of Mathematical Concepts in SingleNeuron Dynamics by Richard Bertram

      Publisher: CRC Press
      Publication Date: Publication Date:
      ISBN13: 9781041238171, 978-1041238171
      ISBN10:

      Description

      Book Synopsis

      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.

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