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will develop and validate quantitative, event-driven intracranial EEG (iEEG) approaches to characterize the Epileptogenic Network (EpiNet) and identify network chokepoints involved in seizure initiation
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independently. Experience with neuroimaging tools (e.g., fNIRS, EEG , fMRI) and research platforms (e.g., REDCap, Qualtrics). Equipment Utilized Microsoft Word, Excel, PowerPoint, Adobe; Cognitive
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines
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, executes, and analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements
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. Designs, executes, and analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements
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analyzes research studies using intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines
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-dedicated 3T Prisma MRI scanner, an EEG / TMS suite, high-speed access to high-performance computing, and shared lab space with other neuroimaging groups. The Postdoctoral Associate will also have