Johannes J. Fahrenfort

The paper shows that predicted sensory outcomes are integrated into conjunctive neural representations during goal-directed action selection, influencing reaction times and learning.

The paper investigates how expectations, attention, and NMDA receptor blockade modulate sensory processing stages using EEG decoding in a visual stimulus experiment.

This study pharmacologically manipulates arousal in humans to test its impact on performance, finding that catecholaminergic enhancement shifts the arousal-performance curve while cholinergic agents do not.

This study compares neural mechanisms of perceptual and attentional impairments on conscious access using EEG, showing distinct effects on complex feature processing despite equal task performance.

This study shows that criterion placement biases neural measures of consciousness and unconscious processing, affecting their validity.

The paper provides evidence for the inverted U-shaped relationship between arousal and performance in perceptual decision-making and presents a neurobiological model explaining it.

This study investigates how catecholaminergic neuromodulation and spatial attention jointly influence perceptual decision-making through behavioral, algorithmic, and neural measures.

The paper investigates how beat-based and pattern-based temporal expectations influence neural oscillations and behavior, finding distinct neural responses for each type of expectation.

The paper investigates whether prediction error in the primate auditory cortex is linked to neural oscillations or broadband activity, finding that broadband activity captures the prediction error response.

The paper shows conflict detection in sensory input requires attention to at least one conflicting feature, while basic sensory processing occurs without attention.

The paper shows that high-pass filtering and standard robust detrending introduce artifacts in multivariate pattern classification of neural time series, and proposes trial-masked robust detrending as an alternative that avoids these issues.

The paper shows that unconscious processing of stimuli in human visual cortex varies depending on whether subjective or objective awareness measures are used, with different neural correlates observed for each approach.

The paper investigates how natural fluctuations in alertness affect cognitive control by analyzing neural and behavioral responses during a conflict task under varying alertness conditions.

The paper shows that a liberal shift in decision bias is linked to increased neural variability in frontal regions, highlighting its role in adapting to environmental demands.

The paper investigates the dissociation between selective attention and storage in working memory using EEG, showing they are distinct processes with different dynamics based on the importance of WM representations.

The paper investigates how proactive and reactive cognitive control mechanisms differ in multiple-target search using fMRI and eye tracking, finding distinct neural activity patterns in frontal and parietal regions based on target selection freedom.

This study investigates whether humans can prioritize multiple visual objects simultaneously, finding that preparation for selecting two objects incurs minimal cost, but actual selection is costly due to neural competition.

The paper uses EEG and alpha power analysis to show that both contingent and non-contingent cues capture attention, with distinct temporal dynamics in raw EEG and alpha band activity.

The paper shows that the brain detects stimulus features but not conflict in task-irrelevant sensory input using EEG data from humans.

The paper shows humans adjust decision bias by altering sensory evidence accumulation rates and cortical activity patterns in response to reward contingencies.

The paper investigates how proactive and reactive control mechanisms differ in multiple-target visual search using EEG and eye tracking, revealing distinct neural signatures in beta and theta oscillations.

The paper investigates how current and future goals are represented in object-selective cortex using fMRI, finding opposite patterns for prospective and current memory representations.

The paper investigates how neural mechanisms for working memory differ based on task goals, finding distinct roles for oscillatory alpha-band power and evoked EEG activity in continuous recall and visual search tasks.

This paper shows that multivariate EEG analysis can track feature-based attentional selection with high spatial and temporal precision, outperforming standard N2pc methods.

The paper investigates whether conscious access is required for perceptual integration by using the attentional blink and EEG decoding.