http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
a computational approach to structural plasticity in the adult brain
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.
Front Cover; The Rewiring Brain; Copyright Page; Contents; List of Contributors; Editorial; 1 Introduction; 2 Experimental Background; 3 Homeostatic Structural Plasticity; 4 Structural Plasticity and Connectivity; 5 Structural Plasticity and Learning and Memory; 6 Neurogenesis-Related Structural Plasticity; 7 Structural Plasticity and Pathology; 8 Outlook; References; I. Experimental Background; 1 Structural Plasticity and Cortical Connectivity; 1 Introduction; 2 The Role of Structural Synaptic Plasticity in Hebb's Theory of Cell Assemblies.
3 Structural Plasticity Following Enriched Experience4 Structural Plasticity Following Sensory Deprivation or Stimulation; 5 Structural Plasticity in Learning and Memory; 6 Structural Plasticity and Long-Term Functional Synaptic Plasticity; 7 Activity-Dependent and -Independent Structural Synaptic Plasticity; 8 Structural Plasticity and Cortical Connectivity; 8.1 Large-Scale Structural Plasticity; 8.2 Microscopic Structural Plasticity and Cortical Connectivity; 8.3 Mechanisms of Microscopic Structural Plasticity Influencing Cortical Connectivity; 9 Future Perspectives; Acknowledgments.
4 Dendritic Arbor Remodeling5 Dendritic Spine Plasticity; 6 Perspectives and Future Directions; 6.1 Technological Developments; 6.2 Minimizing the Dark Side of Structural Plasticity Through Intelligent Intervention; 6.3 Computational Modeling Studies; References; 4 Is Lesion-Induced Synaptic Rewiring Driven by Activity Homeostasis?; 1 Introduction; 2 Current View and Limitations; 2.1 Current View; 2.2 Limitations; 3 Homeostatic Structural Plasticity; 3.1 Hypothesis; 3.2 Expectations; 4 In Vitro Indications for Homeostatic Structural Plasticity; 4.1 Dendritic Spines.
4.2 Dendrite and Axon Outgrowth4.3 Minimum Activity for Spine Formation and Neurite Outgrowth; 5 In Vivo Indications for Homeostatic Structural Plasticity; 5.1 Visual Cortex; 5.2 Barrel Cortex; 5.3 Stroke; 6 Experimental Testing of Homeostatic Structural Plasticity; 6.1 Growth Curves; 6.2 Activity Restoration; 7 Discussion; 7.1 Relation to Other Forms of Plasticity; 7.2 Cortical Remapping; 7.3 Maladaptive Responses; 7.4 Neurodegeneration; 7.5 Neurological Therapy; 7.6 Computational Modeling; 8 Conclusion; References; II. Homeostatic Structural Plasticity.
edited by Arjen van Ooyen, VU University Amsterdam, Amsterdam, the Netherlands, Markus Butz-Ostendorf, Biomax Informatics AG, Planegg, Germany.
Includes bibliographical references and index.
London ; San Diego, CA : Academic Press, 2017