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. 2020 Mar 30;52(5):2142–2155. doi: 10.3758/s13428-020-01372-w

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Decision-making by evidence accumulation. Here, a single possible accumulation process is shown (in blue). The rate of accumulation is determined by incoming sensory evidence as well as Gaussian noise. The response is determined when the accumulator value on the y-axis crosses the upper or lower threshold (dashed lines; in this case, Decision A is triggered). The response time is determined by the distance the accumulator travels on the x-axis (time)