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Paper: PS-2B.68
Session: Poster Session 2B
Location: H Fl├Ąche 1.OG
Session Time: Sunday, September 15, 17:15 - 20:15
Presentation Time:Sunday, September 15, 17:15 - 20:15
Presentation: Poster
Publication: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
Paper Title: Choice History Biases Depend on Environmental Stability and State Uncertainty
Manuscript:  Click here to view manuscript
License: Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
DOI: https://doi.org/10.32470/CCN.2019.1237-0
Authors: Anke Braun, University Medical Center Hamburg-Eppendorf, Germany; Anne E Urai, Cold Spring Harbor, United States; Tobias Donner, University Medical Center Hamburg-Eppendorf, Germany
Abstract: Perceptual decisions under uncertainty are often biased by the history of preceding events. For example, ob- servers tend to repeat (or alternate) their judgments of the sensory environment more often than expected by chance (Braun, Urai, & Donner, 2018; Frund, Wichmann, & Macke, 2014). We test the idea that such choice history biases arise from the context-dependent accumulation of internal decision signals across trials (Glaze, Kable, & Gold, 2015). Observers performed a standard visual ran- dom dot motion discrimination task near psychophysical threshold in several different environments. Those were made up of different levels of auto-correlation between the stimulus categories in successive trials (Repetitive, Random, or Alternating), and the absence or presence of single-trial outcome feedback. Participants adjusted both the strength and the sign of their history biases to the environment. When no feedback was available this ad- justment was driven by previous choices modulated by confidence. When feedback was provided the adjustment was predominantly based on previous stimuli.