User profiles for Radoslaw Martin Cichy
Radoslaw Martin CichyFreie Universität Berlin Verified email at zedat.fu-berlin.de Cited by 5026 |
Resolving human object recognition in space and time
A comprehensive picture of object processing in the human brain requires combining both
spatial and temporal information about brain activity. Here we acquired human …
spatial and temporal information about brain activity. Here we acquired human …
[HTML][HTML] Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
The complex multi-stage architecture of cortical visual pathways provides the neural basis
for efficient visual object recognition in humans. However, the stage-wise computations …
for efficient visual object recognition in humans. However, the stage-wise computations …
Encoding the identity and location of objects in human LOC
We are able to recognize objects independent of their location in the visual field. At the same
time, we also keep track of the location of objects to orient ourselves and to interact with the …
time, we also keep track of the location of objects to orient ourselves and to interact with the …
Multivariate pattern analysis for MEG: A comparison of dissimilarity measures
… open overlay panel Matthias Guggenmos a , Philipp Sterzer a , Radoslaw Martin Cichy b …
We thank Martin N. Hebart and Dimitrios Pantazis for providing insightful comments to a …
We thank Martin N. Hebart and Dimitrios Pantazis for providing insightful comments to a …
Multivariate pattern analysis of MEG and EEG: A comparison of representational structure in time and space
RM Cichy, D Pantazis - NeuroImage, 2017 - Elsevier
Multivariate pattern analysis of magnetoencephalography (MEG) and electroencephalography
(EEG) data can reveal the rapid neural dynamics underlying cognition. However, MEG …
(EEG) data can reveal the rapid neural dynamics underlying cognition. However, MEG …
[HTML][HTML] Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks
Human scene recognition is a rapid multistep process evolving over time from single scene
image to spatial layout processing. We used multivariate pattern analyses on …
image to spatial layout processing. We used multivariate pattern analyses on …
Similarity-based fusion of MEG and fMRI reveals spatio-temporal dynamics in human cortex during visual object recognition
Every human cognitive function, such as visual object recognition, is realized in a complex
spatio-temporal activity pattern in the brain. Current brain imaging techniques in isolation …
spatio-temporal activity pattern in the brain. Current brain imaging techniques in isolation …
Can visual information encoded in cortical columns be decoded from magnetoencephalography data in humans?
It is a principal open question whether noninvasive imaging methods in humans can decode
information encoded at a spatial scale as fine as the basic functional unit of cortex: cortical …
information encoded at a spatial scale as fine as the basic functional unit of cortex: cortical …
The algonauts project: A platform for communication between the sciences of biological and artificial intelligence
In the last decade, artificial intelligence (AI) models inspired by the brain have made
unprecedented progress in performing real-world perceptual tasks like object classification and …
unprecedented progress in performing real-world perceptual tasks like object classification and …
Tracking the spatiotemporal neural dynamics of real-world object size and animacy in the human brain
Animacy and real-world size are properties that describe any object and thus bring basic
order into our perception of the visual world. Here, we investigated how the human brain …
order into our perception of the visual world. Here, we investigated how the human brain …