Daniel Feuerriegel

The paper investigates whether the centroparietal positivity (CPP) reflects evidence accumulation during dietary decisions, finding it aligns with hypothesized accumulation trajectories.

The paper introduces a dataset of EEG and behavioural responses to food images, along with normative ratings and questionnaire data, to study neural mechanisms of food choices.

The paper investigates how spatial frequency affects expectation effects in object-scene associations using EEG data, finding no impact on classification accuracy but effects on event-related potentials.

This study examines neural processes during voluntary decisions, finding evidence accumulation and motor preparation dynamics similar to perceptual decisions.

This study links the Late Positive Component (LPC) in EEG to mnemonic evidence accumulation during recognition memory using computational modeling.

The paper examines how different food attributes are processed over time in the brain using EEG and ratings, finding distinct early and sustained neural time-courses for attribute representations.

The paper tests probabilistic cueing effects on EEG responses and orientation decoding, finding limited evidence for prediction error modulation by expectations.

The paper critiques Frömer et al's analysis of perceptual choice data, arguing their deconvolution method is not suitable for testing bounded accumulation signals.

The paper shows that the Late Positive Component (LPC) in ERP is time-locked to the recognition memory decision, not the stimulus, and recommends using response-locked ERPs for accurate measurement.

This study investigates ERP correlates of confidence during decision formation in a perceptual judgment task and finds that higher confidence is associated with larger CPP amplitudes, independent of relative evidence.

The paper tests predictive coding models by examining ERP responses to probabilistic cues and finds no evidence of expectation suppression or surprise effects, but observes repetition effects.

This study examines how resting EEG power spectra relate to age, cognition, APOE-4 status, and cardiometabolic factors in adults aged 50-80.

The paper shows that neural position representations of moving objects align with real-time positions during early visual processing, but delays persist in later stages.

This paper demonstrates the use of linear support vector regression (SVR) in the Decision Decoding Toolbox (DDTBOX) to predict continuous variables from ERP data, showing its effectiveness across various analysis parameters.

The paper identifies distinct electrophysiological correlates of decision confidence during and after perceptual decisions, showing different neural patterns for correct and erroneous trials.

The paper investigates how absolute evidence magnitude affects decision accuracy and confidence in perceptual judgments, finding that higher absolute evidence reduces accuracy but increases confidence.

This study uses response time modeling to show that moral decision caution is influenced by moral valence and context expectancy, with distinct cognitive processes underlying each effect.

This study examines how metacognitive accuracy changes with age using ERPs, finding a decline in accuracy beyond task performance decline, while behavioral adaptation remains intact.

The paper investigates how decision-making and performance monitoring adjust after conflict in a modified Flanker task, finding changes in sensory evidence and decision processes linked to frontal theta activity.

The paper uses an adapted oddball design to isolate surprise and expectation suppression effects in visual mismatch responses, finding only surprise responses are present.

This study finds that higher cardiometabolic burden in older adults is associated with reduced P3b ERP amplitude during working memory tasks.

The paper shows that repetition suppression in the Fusiform Face Area is inflated by differences in stimulus predictability between repeated and alternating trials.

The paper investigates how temporal expectations affect face image repetition suppression using event-related potentials, finding differing effects on early and late response components.

The paper investigates how stimulus repetition and expectation interact in visual oddball designs, finding that immediate repetition abolishes expectation effects in EEG responses.

DDTBOX is an open-source toolbox for multivariate pattern analysis of EEG data, enabling classification and regression of experimental variables through spatiotemporal decoding.

The paper investigates whether perceptual expectations modulate image repetition effects using ERPs and finds no statistical interaction between repetition effects and expectations.