Emilio Salinas

The paper investigates multisensory integration during urgent saccadic choices by dissociating stimulus-driven and goal-driven signals, finding that integration depends on signal timing and alignment.

The paper investigates how exogenous, endogenous, and history-driven attention mechanisms interact in a dynamic, gamified visual scanning task to influence saccadic choices and perceptual performance.

This study shows that neural activity patterns in the prefrontal cortex predict cognitive improvements during adolescence, with long-distance white matter tracts playing a key role.

The paper shows that location and color selection histories independently affect visuomotor performance in an urgent oddball search task.

The paper introduces a statistical framework using conditional independence to integrate evidence and assess independence between sources, demonstrated through simulated examples.

This study investigates how endogenous attention influences saccade planning during urgent decisions, finding that attention biases saccade plans but can be quickly overridden.

The paper investigates differences between prosaccade and antisaccade performance by testing a hypothesis about exogenous and endogenous signal timing and independence.

This study shows that the spatial signal in LIP during saccadic choices is not always linked to perceptual evidence, as it can hinder or help performance depending on task design.

This study investigates how parietal cortex activity influences perceptual choices by tracking neural responses during an urgent saccadic task.

The paper introduces an urgency requirement to the antisaccade task to study cognitive mechanisms, finding a nonlinear relationship between cue exposure duration and performance success.

The paper models how saccadic inhibition allows the oculomotor system to rapidly switch between eye movement plans when new stimuli appear.

The paper analyzes reaction time variability in saccades by examining motor selection dynamics in the frontal eye field using computational models and single-neuron recordings.