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Kiyohito Iigaya
Kiyohito Iigaya
Assistant Professor at Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
The modulation of savouring by prediction error and its effects on choice
K Iigaya, GW Story, Z Kurth-Nelson, RJ Dolan, P Dayan
Elife 5, 2016
802016
An effect of serotonergic stimulation on learning rates for rewards apparent after long intertrial intervals
K Iigaya, MS Fonseca, M Murakami, ZF Mainen, P Dayan
Nature communications 9 (1), 1-10, 2018
612018
Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales
K Iigaya, Y Ahmadian, LP Sugrue, GS Corrado, Y Loewenstein, ...
Nature communications 10 (1), 1-14, 2019
49*2019
A neuro-computational account of arbitration between choice imitation and goal emulation during human observational learning
CJ Charpentier, K Iigaya, JP O’Doherty
Neuron 106 (4), 687-699. e7, 2020
412020
The value of what’s to come: Neural mechanisms coupling prediction error and the utility of anticipation
K Iigaya, TU Hauser, Z Kurth-Nelson, JP O’Doherty, P Dayan, RJ Dolan
Science advances 6 (25), eaba3828, 2020
372020
Landau damping: Instability mechanism of superfluid Bose gases moving in optical lattices
K Iigaya, S Konabe, I Danshita, T Nikuni
Physical Review A 74 (5), 053611, 2006
332006
Adaptive learning and decision-making under uncertainty by metaplastic synapses guided by a surprise detection system
K Iigaya
Elife 5, e18073, 2016
322016
Cognitive bias in ambiguity judgements: using computational models to dissect the effects of mild mood manipulation in humans
K Iigaya, A Jolivald, W Jitkrittum, ID Gilchrist, P Dayan, E Paul, M Mendl
PloS one 11 (11), e0165840, 2016
252016
Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain
K Iigaya, S Yi, IA Wahle, K Tanwisuth, JP O’Doherty
BioRxiv, 2020
162020
Dynamical regimes in neural network models of matching behavior
K Iigaya, S Fusi
Neural computation 25 (12), 3093-3112, 2013
142013
Aesthetic preference for art can be predicted from a mixture of low-and high-level visual features
K Iigaya, S Yi, IA Wahle, K Tanwisuth, JP O’Doherty
Nature human behaviour 5 (6), 743-755, 2021
132021
Progress and promise in neuroaesthetics
K Iigaya, JP O’Doherty, GG Starr
Neuron 108 (4), 594-596, 2020
132020
Why and how the brain weights contributions from a mixture of experts
JP O’Doherty, SW Lee, R Tadayonnejad, J Cockburn, K Iigaya, ...
Neuroscience & Biobehavioral Reviews 123, 14-23, 2021
112021
The hierarchical construction of value
JP O’Doherty, U Rutishauser, K Iigaya
Current Opinion in Behavioral Sciences 41, 71-77, 2021
72021
Neural network models of decision making with learning on multiple timescales
K Iigaya
Columbia University, 2014
22014
Hippocampus is what happens while you’re busy making other plans
K Iigaya, JP O’Doherty
Neuron 102 (3), 517-519, 2019
12019
Toward a Computational Understanding of Neuroaesthetics
K Iigaya, JP O’Doherty
Brain, Beauty, and Art: Essays Bringing Neuroaesthetics Into Focus, 127, 2021
2021
Savouring and its Modulation by Prediction Errors
P Dayan, K Iigaya, T Hauser, Z Kurth-Nelson, J O'Doherty, R Dolan
Colloquium Cognitive Systems: Universitšt Ulm, 2019
2019
Anticipation, imagination and information seeking via mid-brain, hippocampal, and prefrontal interactions
P Dayan, K Iigaya, T Hauser, Z Kurth-Nelson, J O'Doherty, R Dolan
2019
Neuro-computational account of arbitration between imitation and emulation during human observational learning
CC Charpentier, K Iigaya, JP O’Doherty
bioRxiv, 828723, 2019
2019
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