Topic: continuous bounded accumulation model

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