The role of generative adversarial networks in brain MRI: a scoping review
The performance of artificial intelligence (AI) for brain MRI can improve if enough data are
made available. Generative adversarial networks (GANs) showed a lot of potential to …
made available. Generative adversarial networks (GANs) showed a lot of potential to …
Perceptual reality monitoring: Neural mechanisms dissociating imagination from reality
There is increasing evidence that imagination relies on similar neural mechanisms as
externally triggered perception. This overlap presents a challenge for perceptual reality …
externally triggered perception. This overlap presents a challenge for perceptual reality …
Generative adversarial networks in brain imaging: A narrative review
Artificial intelligence (AI) is expected to have a major effect on radiology as it demonstrated
remarkable progress in many clinical tasks, mostly regarding the detection, segmentation …
remarkable progress in many clinical tasks, mostly regarding the detection, segmentation …
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Deep neural networks excel at image classification, but their performance is far less robust
to input perturbations than human perception. In this work we explore whether this …
to input perturbations than human perception. In this work we explore whether this …
A model of semantic completion in generative episodic memory
Z Fayyaz, A Altamimi, C Zoellner, N Klein… - Neural …, 2022 - direct.mit.edu
Many studies have suggested that episodic memory is a generative process, but most
computational models adopt a storage view. In this article, we present a model of the …
computational models adopt a storage view. In this article, we present a model of the …
[HTML][HTML] Shared representations of human actions across vision and language
Humans can recognize and communicate about many actions performed by others. How are
actions organized in the mind, and is this organization shared across vision and language …
actions organized in the mind, and is this organization shared across vision and language …
Construction of the brain-inspired computing model verified by spatiotemporal correspondence between the hierarchical computation of the model and the complex …
Q Zhang, B Liu - Applied Intelligence, 2023 - Springer
Human brain can recognize facial expressions in a short period of time. The complex multi-
stage processing of neural activities in facial expression recognition is involved. Deep …
stage processing of neural activities in facial expression recognition is involved. Deep …
[HTML][HTML] Unveiling the neural dynamics of conscious perception in rapid object recognition
Our brain excels at recognizing objects, even when they flash by in a rapid sequence.
However, the neural processes determining whether a target image in a rapid sequence can …
However, the neural processes determining whether a target image in a rapid sequence can …
Generative adversarial networks unlock new methods for cognitive science
Generative adversarial networks (GANs) enable computers to learn complex data
distributions and sample from these distributions. When applied to the visual domain, this …
distributions and sample from these distributions. When applied to the visual domain, this …
A brain-inspired object-based attention network for multi-object recognition and visual reasoning
The visual system uses sequences of selective glimpses to objects to support goal-directed
behavior, but how is this attention control learned? Here we present an encoder-decoder …
behavior, but how is this attention control learned? Here we present an encoder-decoder …