scispace - formally typeset
B

Benjamin de Haas

Researcher at University of Giessen

Publications -  52
Citations -  964

Benjamin de Haas is an academic researcher from University of Giessen. The author has contributed to research in topics: Population & Computer science. The author has an hindex of 14, co-authored 38 publications receiving 718 citations. Previous affiliations of Benjamin de Haas include Wellcome Trust Centre for Neuroimaging & University College London.

Papers
More filters
Journal ArticleDOI

Motor imagery of hand actions: Decoding the content of motor imagery from brain activity in frontal and parietal motor areas.

TL;DR: Results showed that the content of motor imagery could be decoded significantly above chance level from the spatial patterns of BOLD signals in both frontal (PMC, M1) and parietal areas (SPL, IPL, IPS).
Journal ArticleDOI

Imagined and Executed Actions in the Human Motor System: Testing Neural Similarity Between Execution and Imagery of Actions with a Multivariate Approach.

TL;DR: Neural representations of MI are neither the same nor totally distinct but exhibit a similar structural geometry with respect to different types of action within the frontoparietal motor network.
Journal ArticleDOI

Better ways to improve standards in brain-behavior correlation analysis.

TL;DR: Rousselet and Pernet (2012) demonstrate that outliers can skew Pearson correlation and claim that this leads to widespread statistical errors by selecting and re-analyzing a cohort of published studies, but their claim cannot be independently replicated.
Journal ArticleDOI

Perceptual load affects spatial tuning of neuronal populations in human early visual cortex

TL;DR: These findings suggest neural ‘tunnel vision’ as a form of distractor suppression under high perceptual load in early visual cortex using functional magnetic resonance imaging (fMRI).
Journal ArticleDOI

Cortical idiosyncrasies predict the perception of object size

TL;DR: Results from novel behavioural methods and functional magnetic resonance imaging (fMRI) demonstrate that biases in size perception are correlated with the spatial tuning of neuronal populations in healthy volunteers and suggest that the individual perception of simple stimuli is warped by idiosyncrasies in visual cortical organization.