Fronto-Striatal Circuits Optimize Feature-based Attention and Learning

Our new publication (Oemisch et al. (2018) Feature Specific Prediction Errors and Surprise across Macaque Fronto-Striatal Circuits during Attention and Learning) provides the first 4-brain-area survey of how prediction error information in the anterior cingulate – ventral striatum and lateral prefrontal – caudate fronto-striatal loops relate to feature-based attention and learning. We found prediction errors that encode the specific stimulus feature that was reward relevant. This coding took place with stimuli having multiple feature dimensions. Reporting that neurons track the specific reward relevant feature suggests an attractive solution of credit assignment through a distributed feature-specific eligibility trace enabling ‘goal-directed’ synaptic plasticity changes across the entire fronto-striatal network.

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3 minute Thesis Competition

Congratulations to Ben to win the York University 3 minute thesis competition in presenting his MSc graduation work ! Here is the University’s press release about the 2016 YorkU 3MT Winner ! Good luck from the laboratory when moving to the provincial level competition (still with only 3 minutes…for the whole thesis).

2017 E.W.R. Steacie Memorial Fellowship Award

What an honour and incredible acknowledgment of our research – Thilo received the 2017 E.W.R. Steacie Memorial Fellowship Award with five fellow scientists in Canada and across the Natural Sciences and Engineering. This is one of the most prestigious awards for young scientists in Canada, celebrating the critical role of fundamental, basic research for driving […]