Whether current or near-term AI systems could be conscious is a topic of...
Recent years have witnessed an explosion in the development of novel
pre...
Recent deep learning models can efficiently combine inputs from differen...
Sensory perception (e.g. vision) relies on a hierarchy of cortical areas...
In neural decoding research, one of the most intriguing topics is the
re...
Research in Machine Learning has polarized into two general regression
a...
Automotive radar sensors provide valuable information for advanced drivi...
Reconstructing perceived natural images from fMRI signals is one of the ...
Recent meta-reinforcement learning work has emphasized the importance of...
The human hippocampus possesses "concept cells", neurons that fire when
...
Visual understanding requires comprehending complex visual relations bet...
Brain-inspired machine learning is gaining increasing consideration,
par...
Deep neural networks excel at image classification, but their performanc...
Vision models trained on multimodal datasets have recently proved very
e...
Transformer attention architectures, similar to those developed for natu...
Modern feedforward convolutional neural networks (CNNs) can now solve so...
Recent advances in deep learning have allowed Artificial Intelligence (A...
The intriguing connections recently established between neural networks ...
Decoding and reconstructing images from brain imaging data is a research...
In recent years artificial neural networks achieved performance close to...
While objects from different categories can be reliably decoded from fMR...