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Lab

I've started a lab in the department of Cognitive Sciences at the University of California, Irvine!
 
The lab's ongoing research investigates the influence of memories on behavior. Specific projects in progress examine the roles of episodic and working memory in decisions for reward, perceptual inference, addiction, and intertemporal choice, using computational model-driven analysis of behavior and brain activity (via fMRI, but with plans for EEG and other methods).
 
If you're interested in working in the lab, please send me a brief (~2 paragraph) message describing your research experience and interests. Include a CV and email addresses of up to three references.
 

Postdoc candidates: Send the above information, and include two or three relevant manuscripts (preprints are ok).
 
PhD applicants: Applications for the 2022 PhD cohort are closed. If you would like to inquire about applying for admission in 2023, please send the above information (plus manuscripts, if any).
 
UCI undergraduates: Refer to the UROP posting for details.

Preprints

Banavar NV, Bornstein AM. Response time modeling provides stable and mechanistically interpretable measures of individual differences in behavioral pattern separation.
 
Bornstein AM, Aly M, Feng SF, Turk-Browne NB, Norman KA, Cohen JD. Perceptual decisions result from the continuous accumulation of memory and sensory evidence. [pdf] [supplement] [data]
 
Harhen NC, Bornstein AM. Learning to expect change: Volatility during early experience alters reward expectations in a model of interval timing.
 
Hunter LE*, Bornstein AM*, Hartley CA. A common deliberative process underlies model-based planning and patient intertemporal choice. [pdf]
 
Otto AR, Devine S, Schultz E, Bornstein AM*, Louie K*. Context-dependent choice and evaluation in real-world consumer behavior. [pdf]

Peer-reviewed articles

2022

Rmus M, Ritz H, Hunter LE, Bornstein AM*, Shenhav A* (2022). Humans can navigate complex graph structures acquired during latent learning. Cognition, 225:105103. [pdf] [supplement]
 
Banavar NV, Bornstein AM (2022). Decision difficulty modulates the re-use of computations across trials in non-sequential decision tasks. Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. [pdf]
 
Harhen NC, Bornstein AM (2022). Humans adapt their foraging strategies and computations to environment complexity. Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. [pdf]
 
Yoo J, Bornstein AM (2022). Two-stage task with increased state space complexity to assess online planning. Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making. [pdf]

2021

Wang S*, Feng SF, Bornstein AM* (2021). Mixing memory and desire: How dynamic reactivation of multiple memory representations guides decisions for reward. Wiley Interdisciplinary Reviews in Cognitive Science, e1581. [pdf] [cover image (artist)]
 
Banavar NV, Lee MD, Bornstein AM (2021). Sequential effects in non-sequential tasks. Proceedings of the 19th International Conference on Cognitive Modeling. [pdf]
 
Harhen NC, Bornstein AM (2021). Structure learning as a mechanism of overharvesting. Proceedings of the 19th International Conference on Cognitive Modeling. [pdf]
 
Harhen NC, Hartley CA, Bornstein AM (2021). Model-based foraging using latent-cause inference. Proceedings of the 43rd Annual Conference of the Cognitive Science Society. [pdf] [code&data]

2020

Rouhani N, Norman KA, Niv Y, Bornstein AM (2020). Reward prediction errors create event boundaries in memory. Cognition, 203:104269. [pdf]
 
Bornstein AM*, Pickard H* (2020). Chasing the first high: Memory sampling in drug choice. Neuropsychopharmacology, 45(6):907-915. [pdf] [research highlight]

2019

Kane GA, Bornstein AM, Shenhav A, Wilson RC, Daw ND, Cohen JD (2019). Rats exhibit similar biases in foraging and intertemporal choice tasks. eLife, 8:e48429. [pdf]
 
Millner AJ, den Ouden HEM, Gershman SJ, Glenn CR, Kearns J, Bornstein AM, Marx BP, Keane TM, Nock MK (2019). Suicidal thoughts and behaviors are associated with an increased decision-making bias for active responses to escape aversive states. Journal of Abnormal Psychology, 128(2):106-118.

2018 and before

Hoskin AN, Bornstein AM, Norman KA, Cohen JD (2018). Refresh my memory: Episodic memory reinstatements intrude on working memory maintenance. Cognitive, Affective, & Behavioral Neuroscience, 19:338-354. [pdf] [supplement] [data]
 
Bornstein AM, Khaw MW, Shohamy D, Daw ND (2017). Reminders of past choices bias decisions for reward in humans. Nature Communications, 8:15958. [pdf] [supplement] [news & views]
 
Bornstein AM, Norman KA (2017). Reinstated episodic context guides sampling-based decisions for reward. Nature Neuroscience, 20:997-1003. [pdf] [supplement] [news & views] [data]
 
Kane GA, Bornstein AM, Shenhav A, Wilson RC, Daw ND, Cohen JD (2017). Mechanisms of overharvesting in patch foraging. Proceedings of the 39th Annual Conference of the Cognitive Science Society, 637-642. [pdf]
 
Bornstein AM, Daw ND (2013). Cortical and hippocampal correlates of deliberation during model-based decisions for rewards in humans. PLoS Computational Biology, 9(12):e1003387. [pdf] [supplement]
 
Bornstein AM, Daw ND (2012). Dissociating hippocampal and striatal contributions to sequential prediction learning. European Journal of Neuroscience, 35:1011-1023. [pdf] [supplement]
 
Bornstein AM, Daw ND (2011). Multiplicity of control in the basal ganglia: Computational roles of striatal subregions. Current Opinion in Neurobiology, 21(3):374-380. [pdf]
 
Preston AR, Bornstein AM, Hutchinson JB, Gaare ME, Glover GH, Wagner AD (2010). High-resolution fMRI of content-sensitive subsequent memory responses in human medial temporal lobe. Journal of Cognitive Neuroscience, 22:156-173.
 
Floares A, Jakary A, Bornstein A, Deicken R (2006). Neural networks and Classification and Regression Trees are able to distinguish females with major depression from healthy controls using neuroimaging data. Proceedings of the IEEE International Joint Conference of Neural Networks, 2006, 4605-4611.


Commentaries

Bornstein AM*, Constantino SM* (2017). Nudge back: Towards a taxonomy of scientific rationalities. London Conference in Critical Thought. [abstract]
 
Bornstein AM, Miller KJ, Shenhav A (2015). Walking bundles of habits (and Response-Outcome associations). European Journal of Neuroscience, 41:1356-1357. [pdf]
 
Wallisch P, Bornstein AM (2013). Enhanced motion perception as a psychophysical marker for autism? Journal of Neuroscience, 33(37):14631-14632. [pdf]
 
Bornstein AM, Nylen EL, Steele SA (2011). Unblocking the neural substrates of model-based value. Journal of Neuroscience, 31(28):10117-10118. [pdf]


Unpublished

Bornstein AM, Shvartsman M (2015). Distinguishing between descriptive and rational approaches to collapsing decision bounds. [pdf]
 
Bornstein AM, Constantino SM (2012). The temporal dynamics of value-based decisions in humans. [pdf]

Organizing

(20202021) Center for Neurobiology of Learning and Memory Spring Conference, co-chaired with Lulu Chen.
 
(2018) Princeton Neuroscience Institute "Inside-Out seminars", organized with Ahmed El Hady.
 
(2018) "Goal-Directed Decision Making: Computations and Neural Circuits", book edited with Richard W. Morris and Amitai Shenhav.
 
(2015) "Memory in action: The role(s) of the hippocampus in decisions for reward", Cosyne workshop organized with Elliott Wimmer.

Other

UCI Prison Bachelor's Program
 
Princeton Prison Teaching Initiative
 
How I spent my fifteen minutes: I was once an extra in -- and contributed a background detail to -- a music video for the band Chairlift
 

Arron Aron Bornstein Aaron Bronstein Aaron Bornstien MIT Stanford NYU Princeton Irvine UCI aaron@bornstein.org aaronb@nyu.edu aaronb@cns.nyu.edu aaronmb@mit.edu aaronb@mit.edu aaronmb@alum.mit.edu aaronmb@princeton.edu aaron.bornstein@uci.edu bornstea@uci.edu neuroscience psychology economics brains math mathematics hippocampus striatum reinforcement learning episodic memory netris Andre Bretton-Woods Andre Breton-Woods Black Swann's Way