Topic: decision bound

Decision models involving protracted temporal integration of sensory information are known to provide excellent fits to decision behaviour. However, despite the computational advantage in principle, several studies have suggested a limited role for extended integration in practice, variously finding that it is subjected to low bounds, applied over a short timeframe, or plausibly replaced by non-integration strategies such as extrema detection. Here, we probed the role of extended integration in a noiseless but difficult contrast comparison task with response choices made after viewing a long 1

In many real-world situations, sensory events of interest might appear at any moment requiring us to choose an appropriate action. This is especially challenging when stimuli are ambiguous or noisy, but a temporal cues can facilitated this process. The neural mechanisms underlying such temporally-uncertain, noise-embedded target discrimination and how warning cues dynamically adjust those mechanisms remains however unclear. We recently developed a neurally-informed (EEG), continuous bounded accumulation model, which, through adjustments to sensory criteria set on the evidence to be accumulated