Hinze Hogendoorn

Neural evidence for action-related somatosensory predictions

The paper investigates neural predictions of tactile consequences during self-initiated movements using EEG, finding predictive activity before tactile stimuli and a stimulus-specific omission response.

Emergence of Sparse Coding, Balance and Decorrelation from a Biologically-Grounded Spiking Neural Network Model of Learning in the Primary Visual Cortex

This study shows that a biologically grounded spiking neural network model of V1 learning exhibits sparse coding, balance, and decorrelation as emergent properties.

The representation of stimulus features during stable fixation and active vision

The paper uses EEG-decoding to study how spatial frequency features are represented during stable fixation and active vision, finding accelerated decoding of peripheral features during saccades.

When visual attention is divided in the flash-lag effect

This study investigates how divided visual attention affects the flash-lag effect, finding that divided attention increases the illusion's magnitude but not its variability.

No evidence that individual alpha frequency (IAF) represents a mechanism underlying motion-position illusions

The paper investigates whether individual alpha frequency (IAF) predicts motion-position illusion magnitude but finds no correlation.

Decoding Remapped Spatial Information in the Peri-Saccadic Period

The paper uses EEG decoding to determine when saccadic remapping of visual stimuli occurs, finding that remapped information becomes available ~180 ms post-stimulus onset when the stimulus is presented 100-200 ms before saccade onset.

Progressive multi-stage extrapolation of predictable motion in human visual cortex

This study shows extrapolation occurs at multiple stages of human visual processing using EEG and simulated neural networks.

Position representations of moving objects align with real-time position in the early visual response

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.

Decoding continuous variables from event-related potential (ERP) data with linear support vector regression (SVR) using the Decision Decoding Toolbox (DDTBOX)

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.

Motion extrapolation in the flash-lag effect depends on perceived, rather than physical speed

The paper investigates whether the flash-lag effect (FLE) depends on perceived or physical speed by manipulating perceived speed through texture and contrast, finding that FLE magnitude correlates with perceived speed.

Decoding explicit and implicit representations of health and taste attributes of foods in the human brain

This study decodes health and taste representations from brain activity during food decision-making, showing health information is processed earlier than taste in implicit decisions.

Predictive visual motion extrapolation emerges spontaneously and without supervision at each layer of a hierarchical neural network with spike-timing-dependent plasticity

This paper shows that a hierarchical neural network with spike-timing-dependent plasticity spontaneously develops motion extrapolation capabilities without supervision, compensating for neural transmission delays.

Visual mismatch responses index surprise signalling but not expectation suppression

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

A neural representation of invisibility: when stimulus-specific neural activity negatively correlates with conscious experience

The paper shows that neural activity increases when stimuli become invisible, challenging assumptions about the relationship between neural responses and conscious experience.

Decoding Predictions and Violations of Object Position and Category in Time-resolved EEG

This study uses EEG and pattern analysis to test predictive coding theory in object vision, finding no difference in decoding accuracy between predictable and violation conditions but suggesting active anticipation of future input.

Predictive coding with neural transmission delays: a real-time temporal alignment hypothesis

The paper extends predictive coding models by incorporating neural transmission delays, showing how real-time temporal alignment can explain motion illusions and solve the temporal binding problem.

Perceptual integration without conscious access

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