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CCN Brown Bag Series

Wednesday, March 14, 2018,
  • Location: Wilson Hall • 111 21St Ave S • Nashville, TN 37240
  • Room: 115

Hjalmar Turesson, PhD

Department of Psychology

York University

“Can prior statistical learning facilitate supervised learning? Preliminary experimental results"

Throughout our lives, we are presented with continuous, high-dimensional, streams of sensory data. While we still learn, for example, object categories from this, only occasionally are our interactions with the environment structured so as to allow for learning from a teacher signal. High-dimensional data, but infrequent teacher signals make credit assignment difficult. However, this problem would be alleviated if we learn from all data, both with and without a teacher signal, that is, if learning is semi-supervised. Thus, we address if prior unsupervised learning facilitates later credit assignment while measuring neural correlates of statistical and semi-supervised learning. We will present preliminary results from macaques presented with a visuomotor task of cue-target pairs with different transition probabilities. Initially, as an unsupervised learning task with statistical structure incidental to reward, and later, as a supervised learning with a teacher signal introduced.