Hans P. Op de Beeck

Orcid: 0000-0002-2250-212X

According to our database1, Hans P. Op de Beeck authored at least 31 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
The representational hierarchy in human and artificial visual systems in the presence of object-scene regularities.
PLoS Comput. Biol., 2023

2021
Using deep neural networks to evaluate object vision tasks in rats.
PLoS Comput. Biol., 2021

The unreliable influence of multivariate noise normalization on the reliability of neural dissimilarity.
NeuroImage, 2021

How Visual Expertise Changes Representational Geometry: A Behavioral and Neural Perspective.
J. Cogn. Neurosci., 2021

2020
An investigation of the effect of temporal contiguity training on size-tolerant representations in object-selective cortex.
NeuroImage, 2020

Reduced task-dependent modulation of functional network architecture for positive versus negative affective touch processing in autism spectrum disorders.
NeuroImage, 2020

Deep Learning for Human Embryo Classification at the Cleavage Stage (Day 3).
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
The representation of symmetry in multi-voxel response patterns and functional connectivity throughout the ventral visual stream.
NeuroImage, 2019

Multi-method brain imaging reveals impaired representations of number as well as altered connectivity in adults with dyscalculia.
NeuroImage, 2019

A Varying Role for Abstraction in Models of Category Learning Constructed from Neural Representations in Early Visual Cortex.
J. Cogn. Neurosci., 2019

2018
The multidimensional representational space of observed socio-affective touch experiences.
NeuroImage, 2018

Domain-general and domain-specific neural changes underlying visual expertise.
NeuroImage, 2018

2017
Avoiding illusory effects in representational similarity analysis: What (not) to do with the diagonal.
NeuroImage, 2017

2016
Deep Neural Networks as a Computational Model for Human Shape Sensitivity.
PLoS Comput. Biol., 2016

How learning might strengthen existing visual object representations in human object-selective cortex.
NeuroImage, 2016

Editorial: Integrating Computational and Neural Findings in Visual Object Perception.
Frontiers Comput. Neurosci., 2016

2015
Influence of lexical status and orthographic similarity on the multi-voxel response of the visual word form area.
NeuroImage, 2015

Visual Number Beats Abstract Numerical Magnitude: Format-dependent Representation of Arabic Digits and Dot Patterns in Human Parietal Cortex.
J. Cogn. Neurosci., 2015

2014
Format-dependent representations of symbolic and non-symbolic numbers in the human cortex as revealed by multi-voxel pattern analyses.
NeuroImage, 2014

A conceptual framework of computations in mid-level vision.
Frontiers Comput. Neurosci., 2014

A validation of a multi-spatialscale method for multivariate pattern analysis.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2013
The distributed representation of random and meaningful object pairs in human occipitotemporal cortex: The weighted average as a general rule.
NeuroImage, 2013

2011
Multiple scales of organization for object selectivity in ventral visual cortex.
NeuroImage, 2011

Dynamic Norm-based Encoding for Unfamiliar Shapes in Human Visual Cortex.
J. Cogn. Neurosci., 2011

Activation of Fusiform Face Area by Greebles Is Related to Face Similarity but Not Expertise.
J. Cogn. Neurosci., 2011

2010
Continuous mapping of the cortical object vision pathway using traveling waves in object space.
NeuroImage, 2010

Distributed subordinate specificity for bodies, faces, and buildings in human ventral visual cortex.
NeuroImage, 2010

Against hyperacuity in brain reading: Spatial smoothing does not hurt multivariate fMRI analyses?
NeuroImage, 2010

Probing the mysterious underpinnings of multi-voxel fMRI analyses.
NeuroImage, 2010

2009
Subordinate Categorization Enhances the Neural Selectivity in Human Object-selective Cortex for Fine Shape Differences.
J. Cogn. Neurosci., 2009

Neural representations that support invariant object recognition.
Frontiers Comput. Neurosci., 2009


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