neural signatures
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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.
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FENS Forum 2026
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FENS Forum 2026
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THE NEURAL SIGNATURES OF TACTILE ATTENUATION AND UNCERTAINTY DURING MOVEMENT
FENS Forum 2026
LOSS OF GFRΑ1 IN MICE REVEALS BEHAVIORAL AND NEURAL SIGNATURES OF NEURODEVELOPMENTAL PSYCHIATRIC DISORDERS
FENS Forum 2026
Neural signatures of memory retrieval in the hippocampus of freely caching chickadees
COSYNE 2022
Neural signatures of learning and exploiting sensory statistics in a sound categorisation task in rats
FENS Forum 2024
Neural signatures of contextual learning strategies
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
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