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Jorge Mejias is an Assistant Professor in the Computational Neuroscience Lab at the University of Amsterdam, focusing on the theoretical and computational study of data-constrained multi-scale brain networks related to perception and cognition. He obtained his PhD in computational neuroscience from the University of Granada in Spain in 2009, followed by postdoctoral research at the University of Ottawa and New York University. His research includes neural mechanisms of large-scale brain communication, neural dynamics across multiple scales, and the development of biologically plausible neural networks. Jorge collaborates closely with experimental colleagues and is involved in organizing conferences. His lab consists of a diverse team dedicated to uncovering the complexities of brain functions like working memory and multisensory integration, with a commitment to developing innovative brain simulation technologies.
University of Amsterdam • Amsterdam, Netherlands
Leading the Computational Neuroscience Lab focusing on theoretical computational approaches.
Includes departments like Economics, Business Administration, Finance, and Marketing.