The Dynamic Brain

Neuronal responses to identically presented stimuli are extremely variable, in the past often regarded as "noise." To understand how neurons work to bring about coherent behavior and its breakdown in disease, neuroscientists must take into account both known and unknown sources of variability, and evaluate network activities by computing interdependence measures among neurons and among different brain areas. This book examines neuronal variability from theoretical, experimental and clinical perspectives.

Mingzhou Ding is J. Crayton Pruitt Family Professor in the Department of Biomedical Engineering at the University of Florida. His past work dealt with nonlinear dynamical systems and stochastic processes. Currently, he is interested in cognitive neuroscience and related computational and signal processing problems.

Dennis Glanzman is Chief of the Theoretical and Computational Neuroscience Research Program at the National Institute of Mental Health, where he oversees a portfolio focused on the development and application of realistic models for the analysis and understanding of brain function. He was co-organizer of the joint NIH-NSF "Collaborative Research in Computational Neuroscience" Program which supports innovative interdisciplinary collaborative research to make significant advances in the understanding of nervous system function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.