Prof. Dino Levy

Coller School of Management

הפקולטה לניהול ע"ש קולר סגל אקדמי בכיר

Phone: 03-6409565

Short Biography

Prof. Levy is an associate professor and the head of the Neuroeconomics and Neuromarketing lab at the Marketing Department at Coller School of Management since fall of 2012. Prof. Levy has a BA in Economics from Tel-Aviv University and an MA in Psychobiology, in which he graduates Magna Cum Laude, also from Tel-Aviv University. He received his PhD in 2008 from the Neurobiology Department at the Weizmann Institute of Science in the field of animal models of drug addiction. He then continued for post-doctoral studies at the Center for Neuroeconomics at NYU in which he examined the neural value representations of both primary and monetary rewards.

Prof. Levy is a member of the society for Neuroeconomics, the society for Neuroscience, the Israeli society for Neuroscience, and the Association for Consumer Research.

CV

Full CV

Fields of Research

In our lab we use an interdisciplinary approach, which involves quantitative economic theories, combined with advanced behavioral methods and theoretical models from psychology, marketing, and economics with neuroscience techniques such as functional magnetic resonance imaging (fMRI), Electroencephalography (EEG), and other physiological measures such as Galvanic Skin Response (GSR) and eye-tracking.

The main aim in our studies is to try and better understand how we make decisions and what are the neural mechanisms underlying value-based choices. The projects in the lab range from examining the neural correlates of value computations and the common currency network, deciphering the neural mechanisms of irrational choice behaviors both in humans and in C.elegans, through looking for a common denominator between basic visual perception and value computations, to projects that aim to predict future preferences and population success of marketing stimuli using neural and physiological signals.

Publications

Articles

Hakim A, Golan I, Yefet S, Levy DJ. DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing. Front Hum Neurosci. 2023;17:1153413. doi:10.3389/FNHUM.2023.1153413/BIBTEX

Or-Borichev A, Gurevitch G, Klovatch I, et al. Neural and functional validation of fMRI-informed EEG model of right inferior frontal gyrus activity. Neuroimage. 2023;266. doi:10.1016/j.neuroimage.2022.119822

Glickman M, Sela T, Usher M, Levy DJ. The effect of perceptual organization on numerical and preference-based decisions shows inter-subject correlation. Psychon Bull Rev. 2023. doi:10.3758/s13423-022-02234-6

Izakson L, Gal S, Shahar M, Tavor I, Levy DJ. Similar functional networks predict performance in both perceptual and value-based decision tasks. Cereb Cortex. June 2022. doi:10.1093/CERCOR/BHAC234

Shuster A, Inzelberg L, Ossmy O, Izakson L, Hanein Y, Levy DJ. Lie to my face: An electromyography approach to the study of deceptive behavior. Brain Behav. October 2021:e2386. doi:10.1002/BRB3.2386

Hakim A, Klorfeld S, Sela T, Friedman D, Shabat-Simon M, Levy DJ. Machines learn neuromarketing: Improving preference prediction from self-reports using multiple EEG measures and machine learning. Int J Res Mark. 2021;38(3). doi:10.1016/j.ijresmar.2020.10.005

Izakson L, Zeevi Y, Levy DJ. Attraction to similar options: The Gestalt law of proximity is related to the attraction effect. PLoS One. 2020;15(10 October). doi:10.1371/journal.pone.0240937

Shuster A, Levy DJ. Contribution of self- and other-regarding motives to (dis)honesty. Sci Rep. 2020;10(1). doi:10.1038/s41598-020-72255-5

Oren S, Sela T, Levy DJ, Schonberg T. Item Features Interact With Item Category in Their Influence on Preferences. Front Psychol. 2020;11. doi:10.3389/fpsyg.2020.00988

Mudrik L, Levy DJ, Gavenas J, Maoz U. Studying volition with actions that matter: Combining the fields of neuroeconomics and the neuroscience of volition. Psychol Conscious Theory Res Pract. 2020;7(1):67-86. doi:10.1037/CNS0000200

Glickman M, Sharoni O, Levy DJ, Niebur E, Stuphorn V, Usher M. The formation of preference in risky choice. PLoS Comput Biol. 2019. doi:10.1371/journal.pcbi.1007201

Cohen D, Teichman G, Volovich M, et al. Bounded rationality in C. elegans is explained by circuit-specific normalization in chemosensory pathways. Nat Commun. 2019;10(1). doi:10.1038/s41467-019-11715-7

Kurtz-David V, Persitz D, Webb R, Levy DJ. The neural computation of inconsistent choice behavior. Nat Commun. 2019. doi:10.1038/s41467-019-09343-2

Hakim A, Levy DJ. A gateway to consumers’ minds: Achievements, caveats, and prospects of electroencephalography-based prediction in neuromarketing. Wiley Interdiscip Rev Cogn Sci. March 2019. doi:10.1002/wcs.1485

Shabat-Simon M, Shuster A, Sela T, Levy DJ. Objective physiological measurements but not subjective reports moderate the effect of hunger on choice behavior. Front Psychol. 2018;9(MAY). doi:10.3389/fpsyg.2018.00750

Glickman M, Sharoni O, Levy DJ, Niebur E, Stuphorn V, Usher M (2019) The formation of preference in risky choice. PLoS

Comput Biol 15(8): e1007201. August 29, 2019 https://doi.org/10.1371/journal.pcbi.1007201

Cohen, D., Teichman, G., Volovich, M. et al. Bounded rationality in C. elegans is explained by circuit-specific normalization in chemosensory pathways. Nat Commun 10, 3692 (2019) . August 13, 2019 https://doi.org/10.1038/s41467-019-11715-7