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OSARI, an Open-Source Anticipated Response Inhibition Task.

Jason L HeRebecca J HirstRohan PuriJames CoxonWinston ByblowMark HinderPatrick SkippenDora MatzkeAndrew HeathcoteCorey G WadsleyTim SilkChristian HydeDinisha ParmarErnest PedapatiDonald L GilbertDavid A HuddlestonStewart MostofskyInge LeunissenHayley J MacDonaldNahian S ChowdhuryMatthew GrettonTess NikitenkoBram ZandbeltLuke StricklandNicolaas A J Puts
Published in: Behavior research methods (2021)
The stop-signal paradigm has become ubiquitous in investigations of inhibitory control. Tasks inspired by the paradigm, referred to as stop-signal tasks, require participants to make responses on go trials and to inhibit those responses when presented with a stop-signal on stop trials. Currently, the most popular version of the stop-signal task is the 'choice-reaction' variant, where participants make choice responses, but must inhibit those responses when presented with a stop-signal. An alternative to the choice-reaction variant of the stop-signal task is the 'anticipated response inhibition' task. In anticipated response inhibition tasks, participants are required to make a planned response that coincides with a predictably timed event (such as lifting a finger from a computer key to stop a filling bar at a predefined target). Anticipated response inhibition tasks have some advantages over the more traditional choice-reaction stop-signal tasks and are becoming increasingly popular. However, currently, there are no openly available versions of the anticipated response inhibition task, limiting potential uptake. Here, we present an open-source, free, and ready-to-use version of the anticipated response inhibition task, which we refer to as the OSARI (the Open-Source Anticipated Response Inhibition) task.
Keyphrases
  • working memory
  • machine learning
  • decision making