Francisco Pereira

The paper shows that distinct prelimbic cortex ensembles encode response execution and inhibition during different phases of operant learning in rats.

The paper introduces concurrent functional linear mixed models (cFLMMs) to analyze neural signals and behavior in real-time, showing they reveal associations missed by traditional methods.

The paper shows that gaze behavior and neural activity during memory recall of narrative events follow similar principles and are linked in their reinstatement.

The paper shows that in-scanner experiences significantly affect resting-state functional connectivity measures in fMRI data.

The paper identifies distinct brain-wide presynaptic networks that underlie the functional identity of individual cortical neurons based on their behavioral state-dependent activity.

This paper evaluates manifold learning techniques for visualizing time-varying functional connectivity in fMRI data, finding that intrinsic dimension varies and methods differ in capturing subject and task information.

The paper evaluates how insufficient eye tracking data affects fixation preference reliability and between-group differences in typically developing and ASD participants.

The paper shows that earlier experiences have a stronger influence on reported mood than recent events, using computational modeling and neural evidence.

The paper investigates how dCA2 pyramidal neurons encode social recognition memory through activity suppression in mice.

The paper analyzes dynamic functional connectivity during rest and finds that distinct cognitive periods influence resting-state brain activity, which can be inferred from data without behavioral input.

Scanner manufacturer, model and even the individual machine leave detectable signatures in ABCD resting-state and task fMRI results; ComBat harmonization is reported to remove them.