"Modeling others during social exchange: neuroimaging and neuromodulatory correlates"

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• Read Montague, Virginia Tech Carilion Research Institute and University College London
• Monday 20 February 2017, 16:30-18:00
• The Hodgkin Huxley Seminar Room, Department of Physiology Development and Neuroscience.

If you have a question about this talk, please contact Lyn Dakin.

We have combined sub-second dopamine and serotonin measurements in humans with a generative model of a simple reciprocating social exchange to produce neuromodulatory correlates of inter-personal prediction errors during the reciprocating exchange. We show that under the cognitive demands of the two social tasks presented that serotonin appears to act as the near antipode to dopamine providing direct support for the idea that these important neuromodulators are involved in opponent processing – at least at the level of the dorsal striatum. We will also discuss new innovations in these electrochemical measurements that strongly suggest that better-than-spike temporal resolution is possible using modifications to standard carbon fiber electrochemistry. I will end by discussing our ideas on how these data provide new insights into theoretical accounts of dopamine and serotonin interactions.

References: Hula, A., Montague, P.R., Dayan, P. (2015). Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange. PLoS Comput Biol 11(6), e 1004254. Doi: 10.1371/journal.pcbi.1004254. eCollection 2015 Jun.

Lohrenz, T., Bhatt, M., Apple, N., Montague, P.R. (2013). Keeping up with the Joneses: Interpersonal Prediction Errors and the Correlation of Behavior in a Tandem Sequential Choice Task. PLoS Comput Biol 9(10), doi: 10.1371/journal.pcbi.1003275. Epub.

Koshelev, M., Lohrenz, T., Vannucci, M., Montague, P.R. (2010). Biosensor approach to psychopathology classification. PLoS Comput Biol 6(10), e1000966.

Xiang, T., Ray, D., Lohrenz, T., Dayan, P., Montague, P.R. (2012). Computational Phenotyping of Two-Person Interactions Reveals Differential Neural Response to Depth-of-Thought. PLoS Comput Biol 8(12).

Montague, P.R., Kishida, K.T., Moran, R.J., Lohrenz, T.M. (2016). An efficiency framework for valence processing systems inspired by soft cross-wiring. Current Opinion in Behavioral Sciences 11, 121-129.

This talk is part of the Adrian Seminars in Neuroscience series.

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