To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, United States College of Health Solutions, Arizona State University, Phoenix, United States ...
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