Error monitoring

Fruitful social interactions require constant monitoring of one's own and others’ actions. We previously showed that macaques playing a video game in a controlled laboratory setting are able to perform joint actions (JA) successfully, when asked to control moving visual cursors displayed on a screen. Yet, while error monitoring is fundamental to optimize motor dyadic performances, it remains unexplored whether macaques are aware of acting together in this abstract context. To fill this gap, we analyzed spontaneous task-unrelated head movements during dyadic performance to investigate their awa

…One of its aspects is the error monitoring ability, which includes being aware of one’s own errors without external feedback. This ability is mostly investigated in two-alternative forced choice tasks, where the performance has all or none nature in terms of accuracy. The previous literature documents the effect of different influences on the error monitoring ability, such as working memory, feedback and sensorimotor involvement. However, these demonstrations fall short of generalizing to the real life scenarios where the erro

…signatures of cognitive control and error monitoring (Cavanagh and Frank, Trends Cogn. Sci., 2014; Cohen, Trends Neurosci., 2014). Yet, the neuronal mechanisms generating these signals remain uncertain. Here, we study whether neocortical pyramidal neurons alone can induce frontal theta during error monitoring by combining electrophysiological data and biophysical modeling. We recorded neuronal spiking and local field potentials (LFPs) across all layers of DMFC from two macaque monkeys performing a saccade countermanding stop

Error monitoring refers to the ability to monitor one's own task performance without explicit feedback. This ability is studied typically in two-alternative forced-choice (2AFC) paradigms. Recent research showed that humans can also keep track of the magnitude and direction of errors in different magnitude domains (e.g., numerosity, duration, length). Based on the evidence that suggests a shared mechanism for magnitude representations, we aimed to investigate whether metric error monitoring ability is commonly governed across different magnitude domains. Participants reproduced/estimated tempo

Does that title put you to sleep or pique your interest? The goal of my presentation is to introduce a powerful yet under-utilized mathematical equation that is surprisingly effective at uncovering spatiotemporal patterns that are embedded in data -- but that might be inaccessible in traditional analysis methods due to low SNR or sparse spatial distribution. If you flunked calculus, then don't worry: the math is really easy, and I'll spend most of the time discussing intuition, simulations, and applications in real data. I will also spend some time in the beginning of the talk providing a bird