Shinsuke Suzuki on Muck Rack

Shinsuke Suzuki

Tokyo
As seen in: Nature, Wiley Online Library, PLOS, PLOS Biology, Frontiers, MDPI, The Japan Times, JNeurosci, medRxiv
Professor of decision neuroscience at Hitotsubashi University, Japan.
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Shinsuke

Contact Shinsuke, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

A densely sampled fMRI dataset for investigating food valuation

|
By Yoko Mano, Asako Toyama, Shinsuke Suzuki, Michiyo Sugawara, Yuhi Aoki, Koki Nakaya, Yuma Matsuda
| Nature Verified
Abstract Subjective valuation of food rewards guides our dietary choices and is fundamental to human health and well-being. Extensive literature in human functional magnetic resonance imaging (fMRI) studies has consistently shown that a network of reward-processing brain regions, including the ventromedial prefrontal cortex (vmPFC) and ventral striatum, encodes the subjective values of food rewards.
Open in Who Shared Issue with article?

Frontiers | Social learning and exploration–exploitation dilemma in decision-making

|
By Gota Morishita, Shinsuke Suzuki
| Frontiers
Abstract This mini review examines the neurocomputational principles of social learning through the lens of the exploration–exploitation dilemma. While the neural mechanisms of learning from others—mediated by distinct signals in the ventromedial and lateral prefrontal cortices—are well established, less is known about how these mechanisms interact with the fundamental trade-off between gathering information (“exploration”) and maximizing rewards (“exploitation”).
Open in Who Shared Issue with article?

Whom do we prefer to learn from in observational reinforcement learning?

|
By Gota Morishita, Carsten Murawski, Nitin Yadav, Shinsuke Suzuki
| PLOS
Loading metrics Open Access Peer-reviewed Research Article ? This is an uncorrected proof. Citation: Morishita G, Murawski C, Yadav N, Suzuki S (2025) Whom do we prefer to learn from in observational reinforcement learning? PLoS Comput Biol 21(12): e1013143.
Open in Who Shared Issue with article?
See all 18 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified