Publikationen von S Bucher

Bucher, S.; Brandenburger, A.: In what environments is divisive normalization an efficient computation? In 18th Annual Meeting of the Society for NeuroEconomics (vSNE 2020), S. 18. 18th Annual Meeting of the Society for NeuroEconomics (vSNE 2020), 07. Oktober 2020 - 09. Oktober 2020. (2020)

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)

Bucher, S.; Glimcher, P.: Late integration of prior belief in drift-diffusion models. 19th Annual Meeting of the Society for NeuroEconomics (vSNE 2021) (2021)

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)