Sebastian Bobadilla-SuarezUniversity College London | UCL · Division of Psychology and Language Sciences
Sebastian Bobadilla-Suarez
Doctor of Philosophy
About
16
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Introduction
I am currently a research associate working with Brad Love at University College London (UCL). During my PhD, I worked under the supervision of Brad Love and Tali Sharot also at UCL. Previous collaborations also include Benedetto De Martino and Cass Sunstein. I have worked on various different topics such as heuristics and biases in decision-making as well as on models of similarity for neuroimaging data. Currently, I am working on similarity models for electro-physiological data. Other efforts
Skills and Expertise
Publications
Publications (16)
Prefrontal cortex (PFC) is known to modulate the visual system to favor goal-relevant information by accentuating task-relevant stimulus dimensions. Does the brain broadly re-configures itself to optimize performance by stretching visual representations along task-relevant dimensions? We considered a task that required monkeys to selectively attend...
Induction benefits from useful priors. Penalized regression approaches, like ridge regression, shrink weights toward zero but zero association is usually not a sensible prior. Inspired by simple and robust decision heuristics humans use, we constructed non-zero priors for penalized regression models that provide robust and interpretable solutions a...
Recent work has considered the relationship between value and confidence in both behavioural and neural representation. Here we evaluated whether the brain organises value and confidence signals in a systematic fashion that reflects the overall desirability of options. If so, regions that respond to either increases or decreases in both value and c...
Induction benefits from useful priors. Penalized regression approaches, like ridge regression, shrink weights toward zero but zero association is usually not a sensible prior. Inspired by simple and robust decision heuristics humans use, we constructed non-zero priors for penalized regression models that provide robust and interpretable solutions a...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. Here we assess the effect of this flexibility on the results of functional magnetic resonance imaging by asking 70 independent teams to analyse the same dataset, testing the same 9 ex-ante hypotheses1. The flexibility of analytical approaches is exempl...
A bstract
Recent work has considered the relationship between value and confidence in both behavior and neural representation. Here we evaluated whether the brain organizes value and confidence signals in a systematic fashion that reflects the overall desirability of options. If so, regions that respond to either increases or decreases in both valu...
One fundamental question is what makes two brain states similar. For example, what makes the activity in visual cortex elicited from viewing a robin similar to a sparrow? One common assumption in fMRI analysis is that neural similarity is described by Pearson correlation. However, there are a host of other possibilities, including Minkowski and Mah...
Data analysis workflows in many scientific domains have become increasingly complex and flexible. To assess the impact of this flexibility on functional magnetic resonance imaging (fMRI) results, the same dataset was independently analyzed by 70 teams, testing nine ex-ante hypotheses. The flexibility of analytic approaches is exemplified by the fac...
Material considerations are essential while trying to achieve low energy and carbon constructions. According to our preliminary findings, decisions regarding materials in new buildings are mostly done by clients or by self-builders often without the aid of an architect or planner. Therefore, community studies are important to understand today's bui...
One fundamental question is what makes two brain states similar. For example, what makes the activity in visual cortex elicited from viewing a robin similar to a sparrow? A common assumption, such as in Representation Similarity Analysis of fMRI data, is that neural similarity is described by Pearson correlation. However, any number of other simila...
102 Cornell L. Rev. 1431 (2017)People are frequently exposed to competing evidence about climate change. We examined how new information alters people’s beliefs. We find that people who are not sure that man-made climate change is occurring, and who do not favor an international agreement to reduce greenhouse gas emissions, show a form of asymmetri...
Most decision-making studies will focus on the value and uncertainty of each choice option but do not focus on the importance of the representation of the choice option itself. This thesis presents the effects that task goals have on creating the appropriate cognitive representation to achieve those goals and how these representations are dependent...
How much we like something, whether it be a bottle of wine or a new film, is affected by the opinions of others. However, the social information that we receive can be contradictory and vary in its reliability. Here, we tested whether the brain incorporates these statistics when judging value and confidence. Participants provided value judgments ab...
Heuristics are simple, yet effective, strategies that people use to make decisions. Because heuristics do not require all available information, they are thought to be easy to implement and to not tax limited cognitive resources, which has led heuristics to be characterized as fast-and-frugal. We question this monolithic conception of heuristics by...
People are frequently exposed to competing evidence about climate change. We examined how new information alters people’s beliefs. We find that people who doubt that man-made climate change is occurring, and who do not favor an international agreement to reduce greenhouse gas emissions, show a form of asymmetrical updating: They change their belief...