Microsoft Research331 тыс
Опубликовано 28 июля 2016, 23:03
"Capturing cortical dynamics to build a time-varying model of the brain – implications in neuroscience and brain-computer interface
Understanding brain dynamics involved in many perceptual and cognitive tasks is of particular interest to scientists in the fields of speech & hearing, as well as neuroscience at large. Furthermore, this knowledge can be combined in an engineering approach to improve our brain-computer interface (BCI) designs, as well as providing us with crucial information on computation modeling, e.g., in speech production. In this talk, I will introduce an emerging neuroimaging technique—known as magnetoencephalography (MEG)—that has just arrived at the University of Washington. I will present our ongoing work on mapping the cortical network involved in auditory attention using a multimodal imaging approach (combining MEG with electroencephalography and magnetic resonance imaging). I will also discuss why the interface between neuroscience and engineering will be the crucial juncture on which new discoveries depend."
Understanding brain dynamics involved in many perceptual and cognitive tasks is of particular interest to scientists in the fields of speech & hearing, as well as neuroscience at large. Furthermore, this knowledge can be combined in an engineering approach to improve our brain-computer interface (BCI) designs, as well as providing us with crucial information on computation modeling, e.g., in speech production. In this talk, I will introduce an emerging neuroimaging technique—known as magnetoencephalography (MEG)—that has just arrived at the University of Washington. I will present our ongoing work on mapping the cortical network involved in auditory attention using a multimodal imaging approach (combining MEG with electroencephalography and magnetic resonance imaging). I will also discuss why the interface between neuroscience and engineering will be the crucial juncture on which new discoveries depend."
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