caa a22 4500 445353171 CHVBK 20180317142851.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s00221-011-2587-1 doi (NATIONALLICENCE)springer-10.1007/s00221-011-2587-1 Predicting the timing of wrong decisions with LATER [Elektronische Daten] [Imran Noorani, Mia Gao, B. Pearson, R. Carpenter] Response time, or latency, is increasingly being used to provide information about neural decision processes. LATER (Linear Approach to Threshold with Ergodic Rate) is a quasi-Bayesian model of decision-making, with the additional feature that it introduces a degree of gratuitous randomisation into the decision process. It has had some success in predicting latencies under various conditions, but has not specifically been applied to an equally important aspect of decision-making, namely errors: a complete model of decision-making should not only account for latency distributions of correct decisions but also of wrong ones. We therefore used a decision task that generates large numbers of errors: subjects are told to look at suddenly appearing targets of one colour, but not another. We found that subjects' faster responses are as likely to be correct as wrong, but eventually the latency distributions diverge, with errors becoming infrequent. It seems that colour information, arriving after a delay, results both in cancellation of the developing response to the mere existence of the target and in delayed initiation of the correct response. A simple model, using LATER units in a similar way to one that has previously successfully modelled countermanding, accurately predicts latency distributions and proportions of all responses, whether correct or incorrect, demonstrating that the LATER model can indeed account for errors as well as correct responses. Springer-Verlag, 2011 Saccade nationallicence Reaction time nationallicence Latency nationallicence LATER nationallicence Errors nationallicence Decision nationallicence Noorani Imran Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut Gao Mia Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut Pearson B. Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut Carpenter R. Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut Experimental Brain Research Springer-Verlag 209/4(2011-04-01), 587-598 0014-4819 209:4<587 2011 209 221 https://doi.org/10.1007/s00221-011-2587-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00221-011-2587-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Noorani Imran Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut NATIONALLICENCE 700 1- Gao Mia Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut NATIONALLICENCE 700 1- Pearson B. Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut NATIONALLICENCE 700 1- Carpenter R. Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Site, CB2 3EG, Cambridge, UK aut NATIONALLICENCE 773 0- Experimental Brain Research Springer-Verlag 209/4(2011-04-01), 587-598 0014-4819 209:4<587 2011 209 221 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer