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TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20290311T030000 RDATE:20291104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20300310T030000 RDATE:20301103T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20310309T030000 RDATE:20311102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20320314T030000 RDATE:20321107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20330313T030000 RDATE:20331106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20340312T030000 RDATE:20341105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20350311T030000 RDATE:20351104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20360309T030000 RDATE:20361102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20370308T030000 RDATE:20371101T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:c3f6e7f311344335a53dfc83bdb3e2f0 CATEGORIES:RuCCS Colloquia:Fall 2020 CREATED:20201020T134547 SUMMARY:"Timely Decisions: What do errors have to do with it?" Fuat Balci (Koç University, Psychology) LOCATION:via Zoom DESCRIPTION:Lab Website (https://tmdmlab.ku.edu.tr/)\nAbstract: Many species of animals can time intervals in seconds-to-minutes range and organize their response s adaptively around temporal contingencies that predict biologically critic al outcomes. Although the resultant timing behavior is typically (on averag e) accurate, endogenous timing uncertainty results in substantial trial-to- trial behavioral variability that conforms to the same psychophysical laws in different species. Adding to such similarities, I have been consistently observing that both humans and rodents can integrate their magnitude-repre sentational uncertainty (including its psychophysical features) into decisi on-making in a nearly normative fashion and maximize the reward rate attain ed. These findings raise the question of whether metric errors, as the tria l-based manifestations of uncertainty in magnitude representations, can be monitored by decision makers in the absence of feedback. In this presentati on, I will first talk about the relationship between interval timing and de cision making within the framework of optimality and their integration at t he level of the underlying generative processes. I will then present eviden ce demonstrating that human participants can keep track of the size and dir ection of their estimation/reproduction errors in different magnitude domai ns (i.e., time intervals, numerosity, line length). These recent findings s uggest that the adaptiveness of decision-making in response to magnitude-re presentational uncertainty might be mediated by “metric error monitoring”.\ n X-ALT-DESC;FMTTYPE=text/html:
Abstract: Many spe cies of animals can time intervals in seconds-to-minutes range and organize their responses adaptively around temporal contingencies that predict biol ogically critical outcomes. Although the resultant timing behavior is typic ally (on average) accurate, endogenous timing uncertainty results in substa ntial trial-to-trial behavioral variability that conforms to the same psych ophysical laws in different species. Adding to such similarities, I have be en consistently observing that both humans and rodents can integrate their magnitude-representational uncertainty (including its psychophysical featur es) into decision-making in a nearly normative fashion and maximize the rew ard rate attained. These findings raise the question of whether metric erro rs, as the trial-based manifestations of uncertainty in magnitude represent ations, can be monitored by decision makers in the absence of feedback. In this presentation, I will first talk about the relationship between interva l timing and decision making within the framework of optimality and their i ntegration at the level of the underlying generative processes. I will then present evidence demonstrating that human participants can keep track of t he size and direction of their estimation/reproduction errors in different magnitude domains (i.e., time intervals, numerosity, line length). These re cent findings suggest that the adaptiveness of decision-making in response to magnitude-representational uncertainty might be mediated by “metric erro r monitoring”.
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