Aaron M. Bornstein

University of California, Irvine — United States

Neuroscience · Life Sciences

17h-index1.6kcitations87works1.12yr avg
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Research Topics

Neural and Behavioral Psychology Studies(18), Memory and Neural Mechanisms(18), Decision-Making and Behavioral Economics(14), Neural dynamics and brain function(13), Functional Brain Connectivity Studies(10)

Publications86 total

Social Decision-Making under Uncertainty
2025Open Access
Sparsity and memory constraints interact with training sequence to bias learning of associative maps
2025Open Access
A compressed code for memory discrimination
2025Open Access
A compressed code for memory discrimination
2025· 1 citedOpen Access
Developmental changes in memory structure and precision alter the use of retrieved episodes during decisions for reward
2025Open Access
Social Decision-Making under Uncertainty
2025Open Access
Social Decision-Making under Uncertainty
2025Open Access
Multi-step inference can be improved across the lifespan with individualized memory interventions
2025· 1 citedOpen Access
Discrete Autoregressive Switching Processes with Cumulative Shrinkage Priors for Graphical Modeling of Time Series Data
Journal of Computational and Graphical Statistics·2025· 1 cited
Social Decision-Making under Uncertainty
2025Open Access
A Bayesian Time-Varying Psychophysiological Interaction Model
Data Science in Science·2025· 1 citedOpen Access
Reasoning Goals and Representational Decisions in Computational Cognitive Neuroscience: Lessons From the Drift Diffusion Model
European Journal of Neuroscience·2025· 1 citedOpen Access
Variability in Complex Constructs: Inferring Risk Preference and Temporal Discounting
2025Open Access
Developmental differences in exploration reveal underlying differences in structure inference
2025Open Access
Author response for "Reasoning Goals and Representational Decisions in Computational Cognitive Neuroscience: Lessons From the Drift Diffusion Model"
2025
Reasoning goals and representational decisions in computational cognitive neuroscience: lessons from the drift diffusion model
2025Open Access
Author response for "Reasoning Goals and Representational Decisions in Computational Cognitive Neuroscience: Lessons From the Drift Diffusion Model"
2024
A response time model of the three-choice Mnemonic Similarity Task provides stable, mechanistically interpretable individual-difference measures
Frontiers in Human Neuroscience·2024· 4 citedOpen Access
Cognitive graphs: Representational substrates for planning.
Decision·2024· 4 citedOpen Access
Reasoning goals and representational decisions in computational cognitive neuroscience: lessons from the drift diffusion model
2024
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Frequent Co-authors

Kenneth A. Norman(8), Nora Harhen(7), Nathaniel D. Daw(6), Jonathan D. Cohen(6), Sharon M. Noh(5), Amitai Shenhav(4), Samuel F. Feng(4), Craig E.L. Stark(3), Nidhi V Banavar(3), Nina Rouhani(2), Yael Niv(2), Gary A. Kane(2), Robert C. Wilson(2), Milena Rmus(2), Harrison Ritz(2), Lindsay E. Hunter(2), Abigail Novick Hoskin(2), A. Ross Otto(2), Sean Devine(2), Eric Schulz(2)