Gamble like you're a subject in our study

Now you play the gambling task from our paper Encoding of multiple reward-related computations in transient and sustained high-frequency activity in human OFC! Just click below to get started or go here if the game is not showing in your browser.

New paper on model that predicts stereotype's effects on behavior and outcomes

Anna Jenkins paper accepted at PNAS!

Jenkins AC, Karashchuk P, Zhu L & Hsu M. Predicting human behavior toward members of different social groups. Proceedings of the National Academy of Sciences. 2018.


Disparities in outcomes across social groups pervade human societies and are of central interest to the social sciences. How people treat others is known to depend on a multitude of factors—e.g., others’ gender, ethnicity, or appearance—even when these should be irrelevant. However, despite substantial progress, much remains unknown regarding (i) the set of mechanisms shaping people’s behavior toward members of different social groups and (ii) the extent to which these mechanisms can explain the structure of existing societal disparities. Here we show in a set of experiments the important interplay between social perception and social valuation processes in explaining how people treat members of different social groups. Building on the idea that stereotypes can be organized onto basic, underlying dimensions, we first found using laboratory economic games that quantitative variation in stereotypes about different groups’ warmth and competence translated meaningfully into resource allocation behavior toward those groups. Computational modeling further revealed that these effects operated via the interaction of social perception and social valuation processes, with warmth and competence exerting diverging effects on participants’ preferences for equitable distributions of resources. This framework successfully predicted behavior toward members of a diverse set of social groups across samples and successfully generalized to predict societal disparities documented in labor and education settings with substantial precision and accuracy. Together, these results highlight a common set of mechanisms linking social group information to social treatment and show how pre-existing, societally shared assumptions about different social groups can produce and reinforce societal disparities.

Voice of America: Curtailing Offensive Speech and the Fragility of Common Sense

Last week I had a very interesting conversation with Michelle Quinn from Voice of America on the struggle of tech companies to curtail offensive speech. Here is the article and the accompanying video. My primary contribution is in highlighting the challenge with real-world operationalizations of concepts like "bias" and "discrimination".

On the one hand, the bias against certain groups is so obvious as to be common sense. On the other hand, get outside of these "common sensical" categories and things get really controversial, really fast. Are rural Americans biases against? What about working class? Is there pervasive bias against caucasians?

I think most of us have heard these and similar claims. So the question I would like to pose is, can we validate these claims in some way? Even if we find some of these claims offensive, and the people making these claims odious, can we nevertheless test these claims rigorously, and either validate or falsify them in a fact-based, data-driven manner?

Since our forthcoming paper on the topic is still under embargo, I will leave things a bit vague here, and just say that I think we are beginning to develop tools that may finally answer these difficult questions. So, as lame as it might sound, stay tuned...


Cross posted on faculty page.

Note to prospective graduate students

I will be recruiting for my lab in Fall 2018. Depending on the specific interests, students can apply through PhD programs in Haas School of Business, Helen Wills Neuroscience Institute, or Department of Psychology. Those who are interested should contact me with their current cv and a short description of research interests.

New paper on understanding how the brain makes decisions using intracranial recordings

Ignacio Saez’s paper has been accepted at Current Biology.

Encoding of multiple reward-related computations in transient and sustained high-frequency activity in human OFC

Authors: Ignacio Saez, Jack Lin, Arjen Stolk, Edward Chang, Josef Parvizi, Gerwin Schalk, Robert T. Knight1, and Ming Hsu

Human orbitofrontal cortex (OFC) has long been implicated in value-based decision-making. In recent years, convergent evidence from human and model organisms have further elucidated its role in representing reward-related computations underlying decision-making. However, a detailed description of these processes remains elusive, due in part to (i) limitations in our ability to observe human OFC neural dynamics at the timescale of decision processes, and (ii) methodological and interspecies differences that make it challenging to connect human and animal findings or to resolve discrepancies when they arise. Here we sought to address these challenges by conducting multi-electrode electrocorticography (ECoG) recordings in neurosurgical patients during economic decision-making to elucidate the electrophysiological signature, sub-second temporal profile, and anatomical distribution of reward-related computations within human OFC. We found that high frequency activity (HFA, 70-200Hz) reflected multiple valuation components grouped in two classes of valuation signals that were dissociable in temporal profile and information content: (i) fast, transient responses reflecting signals associated with choice and outcome-processing, including anticipated risk and outcome regret, and (ii) sustained responses explicitly encoding what happened in the immediately preceding trial. Anatomically, these responses were widely distributed in partially overlapping networks, including regions in the central OFC (Brodmann Areas 11 and 13) which have been consistently implicated in reward processing in animal single unit studies. Together, these results integrate insights drawn from human and animal studies and provide evidence for a role of human OFC in representing multiple reward computations.

Ignacio and Weilun Going Away Dinner

Going away dinner for Ignacio Saez and Weilun Ding at Lemat.

From left: Ignacio Saez, Weilun Ding, Max Good, Siyana Hristova, Zhihao Zhang, Gil Sharvit, Ming Hsu, and Nick Angelides.

Anna Going Away Dinner

Going away dinner with now Prof. Anna Jenkins at Agricole before her cross-country drive.

From left: Weilun Ding, Gil Sharvit, Anna Jenkins, Zhihao Zhang, Ming Hsu, and Nick Angelide

Ekaterina Goncharova undergraduate research poster

Ekaterina Goncharova received first runner-up for undergraduate research poster award for her work on association of psychopathology on social perception, social valuation, and social behavior. Congratulations Ekaterina!

Ignacio Saez starting as assistant professor at UC Davis in Fall

Ignacio Saez has just accepted a faculty position at UC Davis.
He will be starting as assistant professor in the neurosurgery department at UC Davis Medical School this coming fall.
Congratulations Ignacio!

CRCNS PI Meeting 2018

UC Berkeley is proud to host the CRCNS 2018 PI Meeting. This is the annual meeting to bring together recipients of the NSF sponsored Collaborative Research in Computational Neuroscience. It will take place from June 13–June 15, at UC Berkeley’s Lawrence Hall of Science, located in the hills above the main campus with a spectacular 180 degree view of the San Francisco Bay.


Anna Jenkins Named APS Rising Star

Anna Jenkins was named a 2017 Association for Psychological Science Rising Star.

The Rising Star designation recognizes outstanding psychological scientists in the earliest stages of their research career post-PhD whose innovative work has already advanced the field and signals great potential for their continued contributions.

Congratulations Anna!

Berkeley Science Journal Interview

Last semester I had a very enjoyable interview with the undergraduate run Berkeley Science Journal. The interview is now available online. In it I talk about some of the practical applications of neuroscience to business practice, as well as my own career and advice for undergraduates interested in this area. I talk a bit more about the career advice bit in my faculty page.


Thomas Dolman nominated for best MSc thesis prize

Thomas Dolman has been nominated for best MSc Thesis prize, the Darwin, for his work as a visiting graduate student in our lab this past spring. Good luck Thomas!

Anna Jenkins starting at UPenn as assistant professor in Fall

Anna Jenkins has accepted a faculty position at UPenn.
She will be starting as assistant professor of psychology this coming fall.
Congratulations Anna!

SfN 2017 - Zhihao Zhang presentation

Zhihao Zhang presenting dynamic poster at SfN 2017.


Lab dinner for Pierre & Clara

Lab dinner to celebrate Pierre Karashchuk and Clara Pretus on their time at Berkeley!

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From left: Weilun, Zhihao, Ming, Pierre, Anna, Clara, Gil.

New paper on neural basis of updating under ambiguity

Congratulations to Kenji Kobayashi, who paper on updating under ambiguity was just accepted at Journal of Neuroscience.

Title: Neural mechanisms of updating under reducible and irreducible uncertainty

Authors: Kenji Kobayashi and Ming Hsu

Adaptive decision-making depends on agents’ ability to make use of environmental signals to reduce uncertainty. However, because there exist multiple types of uncertainty, agents should take into account not only the extent to which signals violate prior expectancy but also whether uncertainty can be reduced in the first place. Here we studied how the brain responds to signals under conditions of reducible and irreducible uncertainty. We show behaviorally that subjects’ value updating was sensitivity to the reducibility of uncertainty, and could be quantitative characterized by a Bayesian model where agents ignore expectancy violations that do not update beliefs or values. Using fMRI, we found that neural processes underlying belief and value updating were separable from responses to expectancy violation, and that reducibility of uncertainty in value modulated connection from belief- to value-updating regions. Together, these results provide insights into how agents use the knowledge on uncertainty to improve decisions while ignoring mere expectancy violation. 

Lab Dinner for Daniel, Rachel, and Thomas

Lab dinner to celebrate Daniel Wong, Rachel Lee, and Thomas Dolman for their time at the lab!

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From Left: Zhihao, Daniel, Pierre, Rachel, Anna, Thomas, Ignacio

New paper on Neuromarketing in California Management Review

New paper just accepted at California Management Review.

Neuromarketing: Inside the mind of the consumer

Managers today are under tremendous pressure to uncover factors driving customers’ attitudes and behavior. Unfortunately, traditional methods suffer from well-known limitations, and have remained largely unchanged since their introduction decades ago. As a result, there is growing interest in brain-based approaches that may enable managers to directly probe customers’ underlying thoughts, feelings, and intentions. This article aims to provide practical guidance to managers on using these tools, focusing on two distinct uses: validation of existing insights and generation of novel insights. Throughout, we stress that managers should see traditional and brain-based approaches as complements, rather than substitutes, in understanding customers.

Pierre Karashchuk receives NSF Graduate Research Fellowship

Congratulations to Pierre Karashchuk, who was just awarded the prestigious NSF Graduate Student Research Fellowship for his proposal applying computational linguistic models to understand stereotypes in natural language!