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Kiyohito Iigaya
Kiyohito Iigaya
Assistant Professor, Columbia University
Zweryfikowany adres z columbia.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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, e13747, 2016
1292016
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), 2477, 2018
1242018
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
1002020
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
90*2021
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
872020
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), 1466, 2019
85*2019
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
532021
Adaptive learning and decision-making under uncertainty by metaplastic synapses guided by a surprise detection system
K Iigaya
Elife 5, e18073, 2016
522016
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
432016
Progress and promise in neuroaesthetics
K Iigaya, JP O’Doherty, GG Starr
Neuron 108 (4), 594-596, 2020
412020
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, 2020.02. 09.940353, 2020
362020
Landau damping: Instability mechanism of superfluid Bose gases moving in optical lattices
K Iigaya, S Konabe, I Danshita, T Nikuni
Physical Review A—Atomic, Molecular, and Optical Physics 74 (5), 053611, 2006
352006
The hierarchical construction of value
JP O’Doherty, U Rutishauser, K Iigaya
Current opinion in behavioral sciences 41, 71-77, 2021
312021
Neural mechanisms underlying the hierarchical construction of perceived aesthetic value
K Iigaya, S Yi, IA Wahle, S Tanwisuth, L Cross, JP O’Doherty
Nature Communications 14 (1), 127, 2023
232023
Dynamical regimes in neural network models of matching behavior
K Iigaya, S Fusi
Neural computation 25 (12), 3093-3112, 2013
182013
Discounting future reward in an uncertain world.
GW Story, Z Kurth-Nelson, M Moutoussis, K Iigaya, GJ Will, TU Hauser, ...
Decision 11 (2), 255, 2024
62024
Hippocampus is what happens while you’re busy making other plans
K Iigaya, JP O’Doherty
Neuron 102 (3), 517-519, 2019
22019
Neural network models of decision making with learning on multiple timescales
K Iigaya
Columbia University, 2014
22014
Toward a Computational Understanding of Neuroaesthetics
K Iigaya, JP O’Doherty
Brain, Beauty, and Art: Essays Bringing Neuroaesthetics into Focus, 127, 2021
12021
Computational and neural evidence for altered fast and slow learning from losses in problem gambling
K Iigaya, T Larsen, T Fong, JP O’Doherty
Journal of Neuroscience 45 (1), 2025
2025
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