Deniz Vatansever
近期热点
资料介绍
个人简历
简要介绍:Dr. Deniz Vatansever is a Young Principal Investigator in Cognitive Neurosciences and Brain Imaging at the Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University. Prior to his move to Shanghai, he obtained his PhD from the University of Cambridge in Clinical Neurosciences at the Cognition and Consciousness Imaging Group, and later joined the Department of Psychology, Semantics and Mind-wandering Lab at the University of York for his post-doctoral work. His long-term research goal is to improve our understanding of the nexus between brain, behavior and cognition by employing integrative approaches from cognitive, comparative, computational and clinical neurosciences. Working towards this objective, his primary research focuses on defining the functional relevance of the default mode network in human cognition using neuropsychological assessments and magnetic resonance imaging methods, specifically within the domains of learning and memory, cognitive flexibility and decision-making. Currently, he is investigating the dimensional representation of cognitive and behavioral automaticity in the macro-scale brain network organization. His findings have been published in international journals including the Journal of Neuroscience, Human Brain Mapping, Neuroimage and the Proceedings of the National Academy of Sciences, USA.研究领域
Cognitive, Clinical Neurosciences and Neuroimaging""近期论文
Vatansever D, Menon DK, Stamatakis EA. (2017), “Default mode contributions to automated information processing.” Proceedings of the National Academy of Sciences, USA. 114(48): 12821-12826Vatansever D, Bzdok D, Wang HT, Mollo G, Sormaz M, Murphy C, Karapanagiotidis T, Smallwood J, Jefferies E. (2017), “Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behavior.” Neuroimage. 158: 1-11Vatansever D, Menon DK, Manktelow AE, Sahakian BJ, Stamatakis EA (2015), “Default mode dynamics for global functional integration” Journal of Neuroscience. 35(46): 15254-15262标签: 复旦大学 类脑智能科学与技术研究
相关热点