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The Rewiring Brain

A Computational Approach to Structural Plasticity in the Adult Brain

  • 1st Edition - June 21, 2017
  • Latest edition
  • Editors: Arjen van Ooyen, Markus Butz-Ostendorf
  • Language: English

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 on… Read more

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Description

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.

Key features

  • Reviews the current state of knowledge of structural plasticity in the adult brain
  • Gives a comprehensive overview of computational studies on structural plasticity
  • Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory
  • Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage

Readership

Advanced graduate students and researchers in the fields of computational neuroscience, experimental neuroscience, neurobiology, and computer science

Table of contents

Section 1. Experimental Background

1. Structural plasticity and cortical connectivity

2. Structural plasticity induced by adult neurogenesis

3. Structural neural plasticity during stroke recovery

4. Is lesion-induced synaptic rewiring driven by activity homeostasis?

Section 2. Homeostatic Structural Plasticity

5. Network formation through activity-dependent neurite outgrowth: a review of a simple model of homeostatic structural plasticity

6. Clustered arrangement of inhibitory neurons can lead to oscillatory dynamics in a model of activity-dependent structural plasticity

7. A detailed model of homeostatic structural plasticity based on dendritic spine and axonal bouton dynamics

8. Critical periods emerge from homeostatic structural plasticity in a full-scale model of the developing cortical column

9. Lesion-induced dendritic remodeling as a new mechanism of homeostatic structural plasticity in the adult brain

Section 3. Structural Plasticity and Connectivity

10. The role of structural plasticity in producing nonrandom neural connectivity

11. Structural plasticity and the generation of bidirectional connectivity

12. Spike-timing dependent structural plasticity of multi-contact synaptic connections

13. Selection of synaptic connections by wiring plasticity for robust learning by synaptic weight plasticity

Section 4. Structural Plasticity and Learning and Memory

14. Within a spine’s reach

15. Impact of structural plasticity on memory capacity

16. Long-term information storage by the interaction of synaptic and structural plasticity

17. Impact of structural plasticity on memory formation and decline

Section 5. Neurogenesis-Related Structural Plasticity

18. Adult neurogenesis and synaptic rewiring in the hippocampal dentate gyrus

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

20. Computational perspectives on adult neurogenesis

21. Restricted Boltzmann Machine models of hippocampal coding and neurogenesis

Section 6. Structural Plasticity and Pathology

22. Modeling the impact of lesions in the brain

23. Network models of epilepsy-related pathological structural and functional alterations in the dentate gyrus

24. Computational models of stroke recovery

25. Neural plasticity in human brain connectivity: the effects of deep brain stimulation

Product details

  • Edition: 1
  • Latest edition
  • Published: June 21, 2017
  • Language: English

About the editors

Av

Arjen van Ooyen

Dr. Arjen van Ooyen is an independent scientist and former Associate Professor with VU University Amsterdam, the Netherlands. He obtained his PhD in computational neuroscience from the University of Amsterdam and conducted postdoctoral research at the University of Edinburgh and the Netherlands Institute for Brain Researcher. His research interests lie in the computational and mathematical modeling of neuronal morphogenesis and the development of synaptic connectivity, with a focus on the role of homeostatic structural plasticity in the formation and reorganization of neuronal networks.

Affiliations and expertise
Independent Scientist

MB

Markus Butz-Ostendorf

Dr. Markus Butz-Ostendorf is Senior Principal Scientist in Computational Innovation at Boehringer Ingelheim, supporting Discovery Research in Mental Health and Neuroscience with novel computational approaches. Moreover, he is honorary lecturer for Theoretical Neuroscience at Technical University Darmstadt. He obtained his PhD in Neuroanatomy and brings more than 20 years of academic research experience. Dr. Butz-Ostendorf’s main research focus is on circuit understanding by means of computational neuroscience and neuroimaging.
Affiliations and expertise
Senior Principal Scientist, Boehringer Ingelheim Pharma GmbH & Co

View book on ScienceDirect

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