John Clithero

John Clithero

@johnclithero.bsky.social

Associate Professor of Marketing, Decision Making, Computational Modeling, Neuroeconomics, Consumer Neuroscience.

857 followers445 following32 posts

Congrats to Mike Woodford on winning the Nobel Prize! Some of his recent work is also quite exciting, working on how "cognitive noise" and "cognitive imprecision" play a foundational role in decision making: blogs.cuit.columbia.edu/mw2230/recen...

blogs.cuit.columbia.eduModels of Imprecise Cognition – Michael Woodford
Nobel Prize@nobelprize.org

2026 economic sciences laureate Michael Woodford, was born in 1955 in Chicopee, Massachusetts, USA. He earned his PhD in 1983 from @mit.edu, Cambridge, USA. He is currently a professor at @columbiauniversity.bsky.social, New York, USA. https://iserp.columbia.edu/content/michael-woodford

I feel this so very deeply during week 1 every time I teach.

Rafe Meager (they/them)@economeager.bsky.social

ok so you know how we all get like that overwhelming horror when we consider how many people in applied quant classes do not know what a file directory is or what a filepath is or etc. my question is, how do these people ordinarily retrieve saved files. search? like they remember the filenames?

Was a privilege to present and participate in this event at UCLA. What an amazing mix of research!

Kianté@kiante.bsky.social

What a weekend! Thanks to everyone who joined @krajbichlab.bsky.social and me at West Coast Neuroecon. Big appreciation for our speakers, attendees, and generous sponsors: the UCLA Brain Research Institute and the Luskin Endowment for Thought Leadership. krajbichlab.github.io/WCNE/

Fortunate to be a part of this! Moriah had an incredible dissertation and I was lucky to be on her dissertation committee.

Rob Chavez@robchavez.bsky.social

Excited to share our latest paper on computational mechanisms of self-enhancement with links to mental health. We used hierarchical Bayesian drift diffusion modeling to decompose choices on a social comparison task and relate them internalizing symptoms. journals.sagepub.com/eprint/GPFSV...

"To the degree that these tools are saving time and energy, I am not seeing researchers reinvest those savings into developing a deeper understanding of their subject matter, making connections to new ideas, or otherwise investing in advancing their current skillset." Wonderful essay.

Rob Chavez@robchavez.bsky.social

My latest piece, on apprenticeship, artificial intelligence, and intrinsic motivation. Handcrafted from the heart. Please, share and enjoy. open.substack.com/pub/robchave...

Continue to be amazed by and draw research inspiration from vision science

tal boger@talboger.bsky.social

On the left is a rabbit. On the right is an elephant. But guess what: They’re the *same image*, rotated 90°! In @currentbiology.bsky.social, @chazfirestone.bsky.social & I show how these images—known as “visual anagrams”—can help solve a longstanding problem in cognitive science. bit.ly/45BVnCZ

Looks like a very cool paper!

Jonathan Nicholas@jonathannicholas.bsky.social

Excited to share a new paper with Daphna Shohamy & @nathanieldaw.bsky.social! Using fmri reactivation, we measured *when* people build preferences from memory. We found that people tend to do so before a choice, but that they also wait until choice time when options are linked to multiple memories

More ongoing great threads about complexity in decision making

Shengwu Li@shengwuli.bsky.social

I like Ryan’s paper and (obviously) I think complexity matters for behavior. But I think Florian’s updating too much from one experiment. I want to see replications and results from ‘nearby’ designs before saying the lottery anomalies have nothing to do with risk.

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