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Vasilis Karlaftis

Biography:

I graduated from the Aristotle University of Thessaloniki (AUTh) with a diploma in Electrical and Computer Engineering. My thesis was on Transductive Support Vector Machines (TSVM) and their application in classification problems. In September 2013 I joined the lab of Dr. Andrew Welchman and Professor Zoe Kourtzi as a Marie Curie research fellow of the Perceptual Representation of Illumination, Shape & Material (PRISM) network. I am currently investigating structural changes in the human brain in the context of hierarchical predictive learning using diffusion tensor imaging (DTI).

Outside the lab I enjoy playing football and cycling around Cambridge.

Research Interests

I am interested in the role of basal ganglia in the brain and more specifically in the involvement of corticostriatal loops in learning. My current project seeks to associate changes in striatal structural connectivity with different learning strategies in hierarchical predictive paradigms.

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“Neurocomputation: from brains to machines” 25th November 2015, Corpus Christi College

Nov 09, 2015

You are invited to attend the next in the series of Cambridge Neuroscience Interdisciplinary Workshops on “Neurocomputation: from brains to machines”. This workshop is being hosted by Professor Zoe Kourtzi and is being run in association with the Big Data Strategic Research Initiative.

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