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.
1. Cover image 2. Title page 3. Table of Contents 4. Contributors to this volume 5. Copyright page 6. École de Physique des Houches 7. Previous sessions 8. Lecturers 9. Teaching assistants 10. Speakers at the workshops 11. Participants 12. Preface 13. Course 1: Experimenting with Theory 14. Course 2: Understanding Neuronal Dynamics by Geometrical Dissection of Minimal Models 15. Course 3: Geometric Singular Perturbation Analysis of Neuronal Dynamics 16. Course 4: Theory of Neural Synchrony 17. Course 5: Some Useful Numerical Techniques for Simulating Integrate-and-Fire Networks 18. Course 6: Propagation of Pulses in Cortical Networks: The Single-Spike Approximation 19. Course 7: Activity-Dependent Transmission in Neocortical Synapses 20. Course 8: Theory of Large Recurrent Networks: From Spikes to Behavior 21. Course 9: Irregular Activity in Large Networks of Neurons 22. Course 10: Network Models of Memory 23. Course 11: Pattern Formation in Visual Cortex 24. Course 12: Symmetry Breaking and Pattern Selection in Visual Cortical Development 25. Course 13: Of The Evolution of the Brain 26. Course 14: Theory of Point Processes for Neural Systems 27. Course 15: Technique(s) for Spike-Sorting 28. Course 16: The Emergence of Relevant DATA Representations: An Information Theoretic Approach
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.
1. Cover image 2. Title page 3. Table of Contents 4. Contributors to this volume 5. Copyright page 6. École de Physique des Houches 7. Previous sessions 8. Lecturers 9. Teaching assistants 10. Speakers at the workshops 11. Participants 12. Preface 13. Course 1: Experimenting with Theory 14. Course 2: Understanding Neuronal Dynamics by Geometrical Dissection of Minimal Models 15. Course 3: Geometric Singular Perturbation Analysis of Neuronal Dynamics 16. Course 4: Theory of Neural Synchrony 17. Course 5: Some Useful Numerical Techniques for Simulating Integrate-and-Fire Networks 18. Course 6: Propagation of Pulses in Cortical Networks: The Single-Spike Approximation 19. Course 7: Activity-Dependent Transmission in Neocortical Synapses 20. Course 8: Theory of Large Recurrent Networks: From Spikes to Behavior 21. Course 9: Irregular Activity in Large Networks of Neurons 22. Course 10: Network Models of Memory 23. Course 11: Pattern Formation in Visual Cortex 24. Course 12: Symmetry Breaking and Pattern Selection in Visual Cortical Development 25. Course 13: Of The Evolution of the Brain 26. Course 14: Theory of Point Processes for Neural Systems 27. Course 15: Technique(s) for Spike-Sorting 28. Course 16: The Emergence of Relevant DATA Representations: An Information Theoretic Approach
