- 862 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.
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Yes, you can access Methods and Models in Neurophysics by in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biophysics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Contributors to this volume
- Copyright page
- École de Physique des Houches
- Previous sessions
- Lecturers
- Teaching assistants
- Speakers at the workshops
- Participants
- Preface
- Course 1: Experimenting with Theory
- Course 2: Understanding Neuronal Dynamics by Geometrical Dissection of Minimal Models
- Course 3: Geometric Singular Perturbation Analysis of Neuronal Dynamics
- Course 4: Theory of Neural Synchrony
- Course 5: Some Useful Numerical Techniques for Simulating Integrate-and-Fire Networks
- Course 6: Propagation of Pulses in Cortical Networks: The Single-Spike Approximation
- Course 7: Activity-Dependent Transmission in Neocortical Synapses
- Course 8: Theory of Large Recurrent Networks: From Spikes to Behavior
- Course 9: Irregular Activity in Large Networks of Neurons
- Course 10: Network Models of Memory
- Course 11: Pattern Formation in Visual Cortex
- Course 12: Symmetry Breaking and Pattern Selection in Visual Cortical Development
- Course 13: Of The Evolution of the Brain
- Course 14: Theory of Point Processes for Neural Systems
- Course 15: Technique(s) for Spike-Sorting
- Course 16: The Emergence of Relevant DATA Representations: An Information Theoretic Approach