Dynamical Systems in Neuroscience
Indexed incrossref
Abstract
Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of…
Citation impact
3,852
total citations
- FWCI
- 29.36
- Percentile
- 100%
- References
- 173
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Computational neuroscience
- Dynamical systems theory
- Cognitive science
- Neuroscience
- Computer science
- Intuition
- Graduate students
- Nonlinear system
UN Sustainable Development Goals
- Quality Education
No related works found for this paper.