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Our lab studies how people and animals learn from trial and error (and from rewards and punishments) to make decisions, combining computational, neural, and behavioral perspectives. We focus on understanding how subjects cope with computationally demanding decision situations, such as choice under uncertainty or in tasks (such as spatial navigation or games like chess) requiring many decisions to be made sequentially. These are problems long studied by researchers in machine learning, and we draw on algorithms from this field for detailed, quantitative hypotheses about how the brain might approach these problems. Current projects include investigating how the brain controls its own decision-making computations -- in effect, making higher-level decisions about issues like how long to deliberate or when to simply act -- and how these processes might be implicated in issues of self control and in psychiatric disorders involving compulsion.
Research Interests
Papers共 273 篇Author StatisticsCo-AuthorSimilar Experts
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medRxiv : the preprint server for health sciences (2024)
Nature Neurosciencepp.1-13, (2024)
Sina Tafazoli,Flora M Bouchacourt, Adel Ardalan,Nikola T Markov, Motoaki Uchimura,Marcelo G Mattar,Nathaniel D Daw,Timothy J Buschman
bioRxiv : the preprint server for biology (2024)
bioRxiv the preprint server for biology (2024)
bioRxiv the preprint server for biology (2024)
A Pan-Vazquez, Y Sanchez Araujo, B McMannon, M Louka, A Bandi,L Haetzel,International Brain Laboratory,JW Pillow,ND Daw, IB Witten
biorxiv(2024)
Nature communicationsno. 1 (2024)
bioRxiv (Cold Spring Harbor Laboratory) (2024)
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Author Statistics
#Papers: 268
#Citation: 27278
H-Index: 80
G-Index: 164
Sociability: 6
Diversity: 3
Activity: 153
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