A/Prof Hinze Hogendoorn
Honorary (Principal Fellow)
Melbourne School of Psychological Sciences
103 Scholarly works
6 Projects
HIGHLIGHTS
2026
Journal article
Perception, Memory, Simulation, and Consciousness: A Convergence of Theories.
DOI: 10.1162/JOCN.a.24292025
Journal article
Load-dependent processing of prediction violations in task-irrelevant space
DOI: 10.1167/jov.25.14.62025
Journal article
Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex
DOI: 10.1371/journal.pcbi.10136442025
Journal article
No Evidence That Resting-State Individual Alpha Frequency Represents a Mechanism Underlying Motion-Position Illusions
DOI: 10.1111/ejn.702502022
Research grants (ARC, NHMRC, MRFF)
The Neural Dynamics of Real-Time Processing in the Brain
2021
Research Grant
The Brain in Real-Time: Predicting the Present, Reconstructing the Past
2018
Research Grant
The Brain in Real Time: A Neural Model of Rhythmic Action and Perception
RECENT SCHOLARLY WORKS
2025
Journal article
Rapid Reweighting of Sensory Inputs and Predictions in Visual Perception
DOI: 10.1162/neco.a.262025
Journal article
Predictable motion is progressively extrapolated across temporally distinct processing stages in the human visual cortex
DOI: 10.1371/journal.pbio.30031892025
Journal article
The Representation of Stimulus Features during Stable Fixation and Active Vision
DOI: 10.1523/JNEUROSCI.1652-24.20242024
Journal article
Decoding Remapped Spatial Information in the Peri-Saccadic Period
DOI: 10.1167/jov.24.10.2732024
Journal article
Visual motion extrapolation of moving objects drives real-time temporal re-alignment across hierarchical neural position representations
DOI: 10.1167/jov.24.10.4882024
Journal article
When visual attention is divided in the flash-lag effect
DOI: 10.1167/jov.24.9.17
RECENT PROJECTS
2020
Research Grant
Integrating Theory-Guided and Data-Driven Approaches for Measuring Consciousness
2021
Internal Research Grant
The Brain in Real-Time: Predicting the Present, Reconstructing the Past