Neurocomputational Modeling of the Reward System
Recently, we have been laying the groundwork for the development of a neurocomputational model of the reward system with a focus on three sub-systems: reward prediction and valuation (Figure 1), interval timing, and decision making (Galtress, Marshall, & Kirkpatrick, 2012). Our general approach is to use the current knowledge of the neurobiological, neurophysiological, and neurochemical substrates of these cognitive processes to guide and constrain the development of a neurocomputational process model. Currently, we are developing the principles for model development, which will be followed by formal model development.
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Related Publications
Kirkpatrick, K. (2014). Interactions of timing and prediction error learning. Behavioural Processes, 101, 135-145.
Kirkpatrick, K. (2013). Data mining and neurocomputational modeling in the neurosciences. In M.L. Rice (Ed.), The Merrill Series on the Research Mission of Public Universities (pp. 81-89). Lawrence, KS: The University of Kansas Merrill Advanced Studies Center.
Galtress, T., Marshall, A. T., & Kirkpatrick, K. (2012). Motivation and timing: Clues for modeling the reward system. Behavioural Processes, 90, 142-153.
Related Conference Presentations
Kirkpatrick, K. (2013). Data mining and neurocomputational modeling in the neurosciences. Invited talk at the Merrill Center for Advanced Studies Annual Retreat, Nebraska City, NE.
Kirkpatrick, K., & Galtress, T. (2011). Motivation and timing. Invited talk at the Annual Meeting of the Society for the Quantitative Analyses of Behavior, Denver, CO.
