Nathaniel Daw
@nathanieldaw
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Princeton neuro prof. But Twitter is an absurd platform for professional communication so I strive to use it most unprofessionally.
Princeton, NJ
Joined September 2010
RT @AgnieszkaTymula: Two weeks with 30 super smart early career researchers and over 24 established leaders in @SocforNeuroecon. Thanks to….
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Come work with us! The Neuroscience Institute and the Department of Psychology at Princeton University are searching for a tenure-track Assistant Professor in the area of human cognitive neuroscience, to be hired jointly in Psychology and Neuroscience:
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RT @payampiray: New paper with @nathanieldaw in Nature Communications: an RL model that builds a successor map compositionally: it plans as….
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RT @AndrewLampinen: In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or….
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RT @pcastr: thrilled that we'll be presenting this paper as a spotlight at #ICML2025 . come by our poster in vancouver to chat with us abou….
openreview.net
Symbolic models play a key role in cognitive science, expressing computationally precise hypotheses about how the brain implements a cognitive process. Identifying an appropriate model typically...
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RT @ZuckermanBrain: How do you make a decision in a situation you’ve never encountered? Your brain may use your memories to do much of the….
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omg this is so borges, so much better than a reading list of actual books.
The Chicago Sun-Times published an upcoming summer books list that is obviously AI. The clues are that there is no byline and at least 8 of these titles do not exist.
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deborah talmi @supergrrl007 has a cool postdoc position with rik henson and emily holmes at cambridge (I also collaborate), working on computational modeling and analysis of emotional memory. apply by april 21
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RT @pcastr: if you're at #COSYNE2025 today, come by poster 3-090 to talk to @neuro_kim @kevinjmiller10 and me about this work. see you then!.
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announcing this year's neuroeconomics summer school, this time outside paris. too many great lecturers to list, even too many great organizers (plassmann,glimcher,tymula,kable,me). & you wouldnt believe all the past students. sign up:
insead.edu
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one of the most intriguing projects i've been involved in: automated scientific discovery in an area (human/animal RL) I've been working on forever. can an LLM do the job of my grad students? if it is backed up by super smart scientists incl @pcastr @kevinjmiller10 @neuro_kim.
Can LLMs be used to discover interpretable models of human and animal behavior?🤔. Turns out: yes!. Thrilled to share our latest preprint where we used FunSearch to automatically discover symbolic cognitive models of behavior. 1/12
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hello world. we have an opening for a strong theory postdoc to work in my lab on a exciting collaboration with Josh Berke and Loren Frank labs modeling and analyzing data on rat hipp-pfc-bg-da involvement in spatial maze foraging, replay, value etc. here:
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RT @hartleylabnyu: New pre-print out of our lab, "Children leverage predictive representations for flexible, value-guided choice," from for….
osf.io
By building a mental model of how the world works and using it to forecast the outcomes of different actions, a learner can make flexible choices in changing environments. However, while children and...
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RT @CommsPsychol: In a dynamic reinforcement learning task, human players adaptively employ a mix of decision strategies, including model-b….
nature.com
Communications Psychology - In a dynamic reinforcement learning task, human players adaptively employ a mix of decision strategies, including model-based learning but also the successor...
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RT @scychan_brains: Devastatingly, we have lost a bright light in our field. Felix Hill was not only a deeply insightful thinker -- he was….
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RT @douwekiela: I’m really sad that my dear friend @FelixHill84 is no longer with us. He had many friends and colleagues all over the world….
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RT @_cgcorrea: My paper on hierarchical plans is out in Cognition!🎉. tldr: We ask participants to generate hierarchical plans in a programm….
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When I first saw this paper I legit said "that's the stupidest idea I've ever heard." When I much later confessed this to @AaronCourville my wife legit punched me for being so rude but of course by then the joke was that the joke was on me! (Whole thread is great.).
It was in a lab dinner at Les Trois Brasseurs that @goodfellow_ian was struck by an idea that was seemingly comical and almost nonsenical at the time: "what if you could have *another* neural network act as the disciminator?". This was a frontier-expanding moment.
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RT @ari_e_kahn: New preprint with @DaniSBassett and @nathanieldaw!. How do humans learn predictive representations? We propose a trial-by-t….
biorxiv.org
Decisions in humans and other organisms depend, in part, on learning and using models that capture the statistical structure of the world, including the long-run expected outcomes of our actions. One...
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