I am an Assistant Professor in the Department of Psychiatry, affiliated with the Center for Theoretical Neuroscience and the Zuckerman Institute. Our lab aims to identify computational principles underlying learning and decision-making behavior and inform our understanding of mental disorders by studying variations in their neural realization (computational psychiatry). To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural implementations (e.g., neural circuit models). We test our models' predictions in our empirical studies with human participants (e.g., fMRI) and through close collaborations with basic and clinical neuroscience/psychiatry laboratories.
Iigaya, K., Yi, S., Wahle, I. A., Tanwisuth, K., & O’Doherty, J. P. (2021). Aesthetic preference for art can be predicted from a mixture of low-and high-level visual features. Nature Human Behaviour, 1-13.
O’Doherty, J. P., Rutishauser, U., & Iigaya, K. (2021). The hierarchical construction of value. Current Opinion in Behavioral Sciences, 41, 71-77.
Iigaya, K., O’Doherty, J. P., & Starr, G. G. (2020). Progress and promise in neuroaesthetics. Neuron, 108(4), 594-596.
Iigaya, K., Hauser, T.U., Kurth-Nelson, Z., O’Doherty, J.P., Dayan, P.* and Dolan, R.J.* (2020). The value of what’s to come: Neural mechanisms coupling prediction error and the utility of anticipation. Science Advances. 6(25), eaba3828.
Charpentier, C. J., Iigaya, K., & O’Doherty, J. P. (2020). A Neuro-computational Account of Arbitration between Choice Imitation and Goal Emulation during Human Observational Learning. Neuron, 106(4), 687-699.
Iigaya, K., Ahmadian, Y., Sugrue, L., Corrado, G., Loewenstein, Y., Newsome, W. T., & Fusi, S. (2019). Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales. Nature communications, 10 (1), 1466.
Iigaya, K., Fonseca, M. S., Murakami, M., Mainen, Z. F., & Dayan, P. (2018). An effect of serotonergic stimulation on learning rates for rewards apparent after long inter-trial intervals. Nature communications, 9(1), 2477.
Iigaya, K*., Jolivald, A*., Jitkrittum, W., Gilchrist, I. D., Dayan, P.**, Paul, E.**, & Mendl, M.** (2016). Cognitive bias in ambiguity judgements: using computational models to dissect the effects of mild mood manipulation in humans. PloS one, 11(11), e0165840.
*equal contributions; **co-senior authors
Iigaya, K. (2016). Adaptive learning and decision-making under uncertainty by metaplastic synapses guided by a surprise detection system. eLife, 5, e18073.
Iigaya, K., Story, G. W., Kurth-Nelson, Z., Dolan, R. J., & Dayan, P. (2016). The modulation of savouring by prediction error and its effects on choice. eLife, 5, e13747.