Date: Wednesday, 24.05.23 17:00 CET
Signup: If you would like to attend the talks please register here to get a Zoom link.
Abstract:
During perceptual decision-making tasks, centroparietal EEG potentials report an evidence accumulation-to-bound process that is timelocked to trial onset. However, decisions in real-world environments are rarely confined to discrete trials; they instead unfold continuously, with accumulation of time-varying evidence being recency-weighted towards its immediate past. Here we studied the neural correlates of sensory evidence accumulation in dynamic, continuously evolving environments. We show that humans’ ability to adapt evidence weighting to different sensory environments is reflected in changes in centroparietal EEG potentials. Our findings reveal how adaptations in centroparietal responses reflect flexibility in evidence accumulation to the statistics of dynamic sensory environments. I will also discuss the general benefits of using deconvolutional approaches to studying EEG responses in such environments, which allows us to unmix new forms of time-domain potentials (such as temporally scaled responses), and substantially increases SNR due to the increased density of task events.
