Modeling Neural Circuits Made Simple with Python - Couverture souple

Rosenbaum, Robert

 
9780262548083: Modeling Neural Circuits Made Simple with Python
Couverture souple
ISBN 10 : 0262548089 ISBN 13 : 9780262548083
Editeur : The MIT Press, 2024

Synopsis

An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons.

Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course.

  • Proven in the classroom
  • Example-rich, student-friendly approach
  • Includes Python code and a mathematical appendix reviewing the requisite background in calculus, linear algebra, and probability
  • Ideal for engineering, science, and mathematics majors and for self-study

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À propos de l?auteur

Robert Rosenbaum is Associate Professor of Applied and Computational Mathematics and Statistics at the University of Notre Dame. His research in computational neuroscience is focused on using computational models of neural circuits to help understand the dynamics and statistics of neural activity underlying sensory processing and learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
The MIT Press
Date d'édition
2024
Langue
anglais
ISBN 10 
0262548089
ISBN 13 
9780262548083
Reliure
Broché
Nombre de pages
168
Coordonnées du fabricant
non disponible
Personne responsable
non disponible