Stephanie Jones, a research associate professor of neuroscience at Brown University, has been named the recipient of a $1.6 million grant from the BRAIN Initiative, a federal government program.
"The aim of the grant is to turn the model into a user-friendly
software tool that researchers and clinicians can use to test hypotheses about
the neural origin of their MEG/EEG or electrocorticography data," Jones
said. "We are calling this tool the 'Human Neocortical Neurosolver.'"
Jones has developed an innovative computational model during
her time as a researcher at Brown that describes how individual neurons, as
well as circuits of them, can produce the signals that are recognized and
detected by external brainwave measurements. This includes EEG and MEG sensors.
The grant, which she wants to use to share her groundbreaking work with other
scientists, will be paid out over three years.
“While there are numerous studies connecting human MEG/EEG
data to healthy and abnormal functions, the circuit level interpretation of the
underlying neural dynamics is lacking,” she said. “This tool will foster the
translational relevance of these technologies by allowing researchers to
generate testable hypotheses that can guide further studies and ultimately
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