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
Geoff may have been wrong about NNs replacing radiologists but apparently AI for gut health classification from toilet bowl pictures is a thing.
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Truly a headline for the current moment.
techcrunch.com
Kohler, the makers of a smart toilet camera, can access customers' data stored on its servers, and can use customers’ bowl pictures to train AI.
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People always complain that LLMs are autoregressive parrots but I mean when in the training data did anyone ever describe a vegan dish as "not-sad"? That's like "colorless green ideas" level out of the box concept.
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This is the best news for Princeton since John Nash's thesis
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New paper gives insights into the linguistics of therapy: Found that LLMs estimate psychological distance better than dictionary-based methods used in prior work ( https://t.co/DL5arYVWRV...), also finding that therapists *encouraging* distance produce bigger symptom changes!
We have a new paper published in Computational Psychiatry! We used large-language models (LLMs) to estimate linguistic distance in psychotherapy text and found that ratings tracked with clients’ symptoms in treatment over time, more strongly than word-counting techniques did.
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Two weeks with 30 super smart early career researchers and over 24 established leaders in @SocforNeuroecon. Thanks to @INSEAD, Paul Glimcher, @HPlassmann, Nathaniel Daw, Joe Kable, and TAs Camilla van Geen and Shemal Doshi! Looking forward to a repeat in two years!
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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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New paper with @nathanieldaw in Nature Communications: an RL model that builds a successor map compositionally: it plans as well as the best models, and links components of the map used for planning to neural codes in the medial entorhinal cortex. https://t.co/EjiCMi7qwa
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In neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested, check out our new commentary! Thread:
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thrilled that we'll be presenting this paper as a spotlight at #ICML2025 . come by our poster in vancouver to chat with us about the use of LLMs for advancing neuroscience! here's the camera-ready version: https://t.co/kYaIruc56l
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...
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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How do you make a decision in a situation you’ve never encountered? Your brain may use your memories to do much of the thinking long before you have to make the choice. Read more by @DShohamy @jon_d_nicholas @nathanieldaw in @NatureComms
https://t.co/uOGfvlPEVZ
#memory
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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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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!
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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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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New pre-print out of our lab, "Children leverage predictive representations for flexible, value-guided choice," from former lab members @lice_zhang @katenuss and collaborators @nathanieldaw @ari_e_kahn! @cate_hartley
https://t.co/jLWZ1Rw2E3
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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In a dynamic reinforcement learning task, human players adaptively employ a mix of decision strategies, including model-based learning but also the successor representation. @nathanieldaw @ari_e_kahn
https://t.co/ievvIlIr0r
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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