neural signatures

Neural correlates of temporal processing in humans

Estimating intervals is essential for adaptive behavior and decision-making. Although several theoretical models have been proposed to explain how the brain keeps track of time, there is still no evidence toward a single one. It is often hard to compare different models due to their overlap in behavioral predictions. For this reason, several studies have looked for neural signatures of temporal processing using methods such as electrophysiological recordings (EEG). However, for this strategy to work, it is essential to have consistent EEG markers of temporal processing. In this talk, I'll present results from several studies investigating how temporal information is encoded in the EEG signal. Specifically, across different experiments, we have investigated whether different neural signatures of temporal processing (such as the CNV, the LPC, and early ERPs): 1. Depend on the task to be executed (whether or not it is a temporal task or different types of temporal tasks); 2. Are encoding the physical duration of an interval or how much longer/shorter an interval is relative to a reference. Lastly, I will discuss how these results are consistent with recent proposals that approximate temporal processing with decisional models.

Neural signatures of memory retrieval in the hippocampus of freely caching chickadees

COSYNE 2022

Neural signatures of memory retrieval in the hippocampus of freely caching chickadees

COSYNE 2022

Behavioral strategies and neural signatures underlying stay/switch decision-making in Drosophila

COSYNE 2023

Decision-making in dynamic, continuously evolving environments: a novel task design to reliably quantify the flexibility of decision formation and its neural signatures

Evoked and intrinsic neural signatures of human Recovery-of-Consciousness

Investigating neural signatures of working memory in frontoparietal electrocorticography

Neural signatures of contextual learning strategies

Neural signatures of learning and exploiting sensory statistics in a sound categorisation task in rats

FENS Forum 2024