LEADER 03060nam 2200433z- 450 001 9910136807703321 005 20210212 035 $a(CKB)3710000000631070 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61038 035 $a(oapen)doab61038 035 $a(EXLCZ)993710000000631070 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aToward a Unified View of the Speed-Accuracy Trade-Off: Behaviour, Neurophysiology and Modelling 210 $cFrontiers Media SA$d2016 215 $a1 online resource (160 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-756-5 330 $aEveryone is familiar with the speed-accuracy trade-off (SAT). To make good choices, we need to balance the conflicting demands of fast and accurate decision making. After all, hasty decisions often lead to poor choices, but accurate decisions may be useless if they take too long. This notion is intuitive because it reflects a fundamental aspect of cognition: not only do we deliberate over the evidence for decisions, but we can control that deliberative process. This control raises many questions for the study of choice behaviour and executive function. For example, how do we figure out the appropriate balance between speed and accuracy on a given task? How do we impose that balance on our decisions, and what is its neural basis? Researchers have addressed these and related questions for decades, using a variety of methods and offering answers at different levels of abstraction. Given this diverse methodology, our aim is to provide a unified view of the SAT. Extensive analysis of choice behaviour suggests that we make decisions by accumulating evidence until some criterion is reached. Thus, adjusting the criterion controls how long we accumulate evidence and therefore the speed and accuracy of decisions. This simple framework provides the platform for our unified view. In the pages that follow, leading experts in decision neuroscience consider the history of SAT research, strategies for determining the optimal balance between speed and accuracy, conditions under which this seemingly ubiquitous phenomenon breaks down, and the neural mechanisms that may implement the computations of our unifying framework. 517 $aToward a Unified View of the Speed-Accuracy Trade-Off 606 $aNeurosciences$2bicssc 610 $abounded integration 610 $aDecision Making 610 $adecision neuroscience 610 $aNeural mechanisms of cognition 610 $aSpeed-accuracy trade-off 615 7$aNeurosciences 700 $aRichard P. Heitz$4auth$01287761 702 $aDominic Standage$4auth 702 $aDa-Hui Wang$4auth 702 $aPatrick Simen$4auth 906 $aBOOK 912 $a9910136807703321 996 $aToward a Unified View of the Speed-Accuracy Trade-Off: Behaviour, Neurophysiology and Modelling$93020362 997 $aUNINA