Brain Proximity Measures: Selecting the Optimal Neural Circuit from a Set
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Brain Proximity Measures introduces a novel mathematical and computational framework for understanding how individuals with neurological impairments may still succeed in selecting functional neural circuits for movement. Challenging conventional approaches to motion control, this book explores how the brain evaluates the proximity of its current state to viable pathways, enabling movement without relying on traditional notions of motion planning or optimal control.Drawing from chapters grounded in geometry, graph theory, and systems neuroscience, the author develops the concept of 'brain proxi...
Brain Proximity Measures introduces a novel mathematical and computational framework for understanding how individuals with neurological impairments may still succeed in selecting functional neural circuits for movement. Challenging conventional approaches to motion control, this book explores how the brain evaluates the proximity of its current state to viable pathways, enabling movement without relying on traditional notions of motion planning or optimal control.Drawing from chapters grounded in geometry, graph theory, and systems neuroscience, the author develops the concept of 'brain proximity' as a criterion for real-time circuit selection. This fresh perspective offers insights into how damaged or compromised neural systems may still adapt and function through structural strategies rather than predefined programming.This book will appeal to neuroscientists, rehabilitation researchers, theoretical biologists, and computational modelers interested in brain function, adaptability, and mathematical modeling of neural processes.
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