Publications of SF Bucher

Journal Article (1)

1.
Journal Article
Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. Proceedings of the National Academy of Sciences of the United States of America 119 (40), e2120581119 (2022)

Conference Paper (2)

2.
Conference Paper
Bucher, S.; Dayan, P.: Algorithmic Choice Architecture for Boundedly Rational Consumers. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023). NeurIPS Workshop on Information-Theoretic Principles in Cognitive Systems (InfoCog @ NeurIPS 2023), New Orleans, LA, USA, December 15, 2023. (2023)
3.
Conference Paper
Kurtz-David, V.; Alladi, V.; Bucher, S.; Brandenburger, A.; Louie, K.; Glimcher, P.; Tymula, A.: Choosers Adapt Value Coding to the Environment, But Do Not Attain Efficiency. 45th Annual Meeting of the Cognitive Science Society (CogSci 2023), Sydney, Australia, July 26, 2023 - July 29, 2023. Proceedings of the Annual Meeting of the Cognitive Science Society 45, pp. 2237 - 2244 (2023)

Meeting Abstract (2)

4.
Meeting Abstract
Kurtz David, V.; Alladi, V.; Sinha, S.; Bucher, S.; Brandenburger, A.; Louie, K.; Dewan, A.; Glimcher, P.; Tymula, A.: Inefficient Divisive Normalization: Human Choosers Employ Divisive Normalization Even When They Should Not. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO58.13, p. 544. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, November 11, 2023 - November 15, 2023. (2023)
5.
Meeting Abstract
Bucher, S.; Brandenburger, A.: In what environments is divisive normalization an efficient computation? In 18th Annual Meeting of the Society for NeuroEconomics (vSNE 2020), p. 18. 18th Annual Meeting of the Society for NeuroEconomics (vSNE 2020), October 07, 2020 - October 09, 2020. (2020)

Poster (7)

6.
Poster
Bucher, S.; Dayan, P.: Algorithmic Choice Architecture for Boundedly Rational Consumers. 10th Annual Conference on Digital Experimentation (CODE@MIT 2023), Cambridge, MA, USA (2023)
7.
Poster
Bucher, S.; Dayan, P.: Dopamine-Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)
8.
Poster
Bucher, S.; Yan, Z.-Y.; Glimcher, P.; Dayan, P.: Neurally Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)
9.
Poster
Kurtz-David, V.; Alladi, V.; Bucher, S.; Louie, K.; Brandenburger, A.; Dewan, A.; Glimcher, P.; Tymula, A.: Choosing Well: Testing the Efficiency of Neural Value Coding. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)
10.
Poster
Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
11.
Poster
Bucher, S.; Glimcher, P.: Late integration of prior belief in drift-diffusion models. 19th Annual Meeting of the Society for NeuroEconomics (vSNE 2021) (2021)
12.
Poster
Bucher, S.; Glimcher, P.: Testing the DDM: A behavioral Experiment to measure evidence accumulation during decision making. 17th Annual Meeting of the Society for NeuroEconomics (SNE 2019), Dublin, Ireland (2019)
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