The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain - Tapa dura

Acerca de los autores

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.

De la contraportada

Exploring the role of structural plasticity in brain function can be greatly assisted by mathematical and computational models. However, most traditional neuronal network models have a fixed connectivity structure, with plasticity merely arising from changes in connection strength (synaptic plasticity). In The Rewiring Brain, the editors bring together for the first time recent modelling studies that investigate the implications of structural plasticity for brain function and connectivity. It contains a valuable overview of contemporary computational and theoretical studies on structural plasticity. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on critical connectivity, network reorganization and recovery following lesions or stroke, synapse formation, interaction between synaptic and structural plasticity, functional consequences of synaptic rewiring and neurogenesis for learning and memory, and the relation between neurological disorders and structural connectivity.

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 brain in health and disease. This book is written for both computational and experimental neuroscientists, as well as neurobiologists and computer scientists.