Characterizing Functional Connectivity in the Brain: Dr. Mark Kramer скачать в хорошем качестве

Characterizing Functional Connectivity in the Brain: Dr. Mark Kramer

Virtual Seminar Series: Computational Approaches to Signal Processing for Sleep Research http://sleepeeg.org/seminar Characterizing Functional Connectivity in the Brain Dr. Mark Kramer The brain functions (and dysfunctions) through interactions spanning spatial scales, from the single neuron to the entire nervous system, and temporal scales, from millisecond action potentials to decades of development. Modern neuroimaging, combined with sophisticated data analysis tools, has expanded analysis of brain activity from individual brain components to networks of interacting brain regions. Understanding these brain networks and the big data they entail, remains a fundamental challenge of modern neuroscience, with the potential for significant impacts to human health and disease. In this seminar, Dr. Kramer will discuss ways of characterizing functional connectivity in the brain, going from basic concepts to applications to understanding the activity during spontaneous seizures. About the Series: This series is part of the Program in Sleep Epidemiology at Brigham and Women’s Hospital and organized by the Sleep Neurophysiology Signal Processing Core, directed by Dr. Michael Prerau. The goal of this series will be to provide an improved understanding of signal processing basics and best practices to sleep researchers and clinicians, with a long term aim of bringing new methods of signal processing to the regular attention of field. No prior mathematical or signal processing knowledge is required. While numerous exciting developments in signal processing and computational modeling have rapidly been adopted as the standard across numerous diverse fields, these approaches remain uncommon within the study of sleep. One of the main reasons for this is that there have been few resources that cross the divide between the math/engineering literature and sleep science. This seminar series aims to fill that gap. These seminars are designed to be accessible to all without the need for a strong mathematical background. Each talk will have a didactic component, which will describe the methods or practices in question, and an application component, which will show ways of applying these techniques to sleep or related data. By the end of each seminar, you should understand a new set of concepts and have the ability to think of ways of applying those concepts to your own research.