The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke.
Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In The Rewiring Brain, the editors bring together for the first time contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders.
Structural plasticity adds a whole new dimension to brain plasticity, and The Rewiring Brain shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of Contributors - p. xi 6. Editorial - p. xiii 7. Section I: Experimental Background - p. xviii 8. Chapter 1. Structural Plasticity and Cortical Connectivity - p. 3 9. Chapter 2. Structural Plasticity Induced by Adult Neurogenesis - p. 27 10. Chapter 3. Structural Neural Plasticity During Stroke Recovery - p. 49 11. Chapter 4. Is Lesion-Induced Synaptic Rewiring Driven by Activity Homeostasis? - p. 72 12. Section II: Homeostatic Structural Plasticity - p. 86 13. Chapter 5. Network Formation Through Activity-Dependent Neurite Outgrowth: A Review of a Simple Model of Homeostatic Structural Plasticity - p. 95 14. Chapter 6. Clustered Arrangement of Inhibitory Neurons Can Lead to Oscillatory Dynamics in a Model of Activity-Dependent Structural Plasticity - p. 123 15. Chapter 7. A Detailed Model of Homeostatic Structural Plasticity Based on Dendritic Spine and Axonal Bouton Dynamics - p. 155 16. Chapter 8. Critical Periods Emerge from Homeostatic Structural Plasticity in a Full-Scale Model of the Developing Cortical Column - p. 177 17. Chapter 9. Lesion-Induced Dendritic Remodeling as a New Mechanism of Homeostatic Structural Plasticity in the Adult Brain - p. 203 18. Section III: Structural plasticity and connectivity - p. 214 19. Chapter 10. The Role of Structural Plasticity in Producing Nonrandom Neural Connectivity - p. 221 20. Chapter 11. Structural Plasticity and the Generation of Bidirectional Connectivity - p. 247 21. Chapter 12. Spike Timing-Dependent Structural Plasticity of Multicontact Synaptic Connections - p. 261 22. Chapter 13. Selection of Synaptic Connections by Wiring Plasticity for Robust Learning by Synaptic Weight Plasticity - p. 275 23. Section IV: Structural Plasticity and Learning and Memory - p. 290 24. Chapter 14. Within a Spine’s Reach - p. 295 25. Chapter 15. Impact of Structural Plasticity on Memory Capacity - p. 319 26. Chapter 16. Long-Term Information Storage by the Interaction of Synaptic and Structural Plasticity - p. 343 27. Chapter 17. Impact of Structural Plasticity on Memory Formation and Decline - p. 361 28. Section V: Neurogenesis-Related Structural Plasticity - p. 383 29. Chapter 18. Adult Neurogenesis and Synaptic Rewiring in the Hippocampal Dentate Gyrus - p. 389 30. Chapter 19. Modifications in Network Structure and Excitability May Drive Differential Activity-Dependent Integration of Granule Cells into Dentate Gyrus Circuits During Normal and Pathological Adult Neurogenesis - p. 409 31. Chapter 20. Computational Perspectives on Adult Neurogenesis - p. 425 32. Chapter 21. Restricted Boltzmann Machine Models of Hippocampal Coding and Neurogenesis - p. 443 33. Section VI: Structural plasticity and pathology - p. 458 34. Chapter 22. Modeling the Impact of Lesions in the Brain - p. 465 35. Chapter 23. Network Models of Epilepsy-Related Pathological Structural and Functional Alterations in the Dentate Gyrus - p. 485 36. Chapter 24. Computational Models of Stroke Recovery - p. 505 37. Chapter 25. Neural Plasticity in Human Brain Connectivity: The Effects of Deep Brain Stimulation - p. 527 38. Index - p. 547
The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke.
Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In The Rewiring Brain, the editors bring together for the first time contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders.
Structural plasticity adds a whole new dimension to brain plasticity, and The Rewiring Brain shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of Contributors - p. xi 6. Editorial - p. xiii 7. Section I: Experimental Background - p. xviii 8. Chapter 1. Structural Plasticity and Cortical Connectivity - p. 3 9. Chapter 2. Structural Plasticity Induced by Adult Neurogenesis - p. 27 10. Chapter 3. Structural Neural Plasticity During Stroke Recovery - p. 49 11. Chapter 4. Is Lesion-Induced Synaptic Rewiring Driven by Activity Homeostasis? - p. 72 12. Section II: Homeostatic Structural Plasticity - p. 86 13. Chapter 5. Network Formation Through Activity-Dependent Neurite Outgrowth: A Review of a Simple Model of Homeostatic Structural Plasticity - p. 95 14. Chapter 6. Clustered Arrangement of Inhibitory Neurons Can Lead to Oscillatory Dynamics in a Model of Activity-Dependent Structural Plasticity - p. 123 15. Chapter 7. A Detailed Model of Homeostatic Structural Plasticity Based on Dendritic Spine and Axonal Bouton Dynamics - p. 155 16. Chapter 8. Critical Periods Emerge from Homeostatic Structural Plasticity in a Full-Scale Model of the Developing Cortical Column - p. 177 17. Chapter 9. Lesion-Induced Dendritic Remodeling as a New Mechanism of Homeostatic Structural Plasticity in the Adult Brain - p. 203 18. Section III: Structural plasticity and connectivity - p. 214 19. Chapter 10. The Role of Structural Plasticity in Producing Nonrandom Neural Connectivity - p. 221 20. Chapter 11. Structural Plasticity and the Generation of Bidirectional Connectivity - p. 247 21. Chapter 12. Spike Timing-Dependent Structural Plasticity of Multicontact Synaptic Connections - p. 261 22. Chapter 13. Selection of Synaptic Connections by Wiring Plasticity for Robust Learning by Synaptic Weight Plasticity - p. 275 23. Section IV: Structural Plasticity and Learning and Memory - p. 290 24. Chapter 14. Within a Spine’s Reach - p. 295 25. Chapter 15. Impact of Structural Plasticity on Memory Capacity - p. 319 26. Chapter 16. Long-Term Information Storage by the Interaction of Synaptic and Structural Plasticity - p. 343 27. Chapter 17. Impact of Structural Plasticity on Memory Formation and Decline - p. 361 28. Section V: Neurogenesis-Related Structural Plasticity - p. 383 29. Chapter 18. Adult Neurogenesis and Synaptic Rewiring in the Hippocampal Dentate Gyrus - p. 389 30. Chapter 19. Modifications in Network Structure and Excitability May Drive Differential Activity-Dependent Integration of Granule Cells into Dentate Gyrus Circuits During Normal and Pathological Adult Neurogenesis - p. 409 31. Chapter 20. Computational Perspectives on Adult Neurogenesis - p. 425 32. Chapter 21. Restricted Boltzmann Machine Models of Hippocampal Coding and Neurogenesis - p. 443 33. Section VI: Structural plasticity and pathology - p. 458 34. Chapter 22. Modeling the Impact of Lesions in the Brain - p. 465 35. Chapter 23. Network Models of Epilepsy-Related Pathological Structural and Functional Alterations in the Dentate Gyrus - p. 485 36. Chapter 24. Computational Models of Stroke Recovery - p. 505 37. Chapter 25. Neural Plasticity in Human Brain Connectivity: The Effects of Deep Brain Stimulation - p. 527 38. Index - p. 547
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