Nature

Convolutional architectures are cortex-aligned de novo

What underlies the emergence of cortex-aligned representations in deep neural network models of vision? Earlier work suggested that shared architectural constraints were a major factor, but the ...
Nature

Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs

Motor imagery electroencephalography (EEG) analysis is crucial for the development of effective brain-computer interfaces (BCIs), yet it presents considerable challenges due to the complexity of the ...
EurekAlert!

Quasi-convolution coding empowers streamlined reservoir computer

A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
GIGAZINE

An easy-to-understand illustration of 'What is a convolutional neural network?'

I've seen more and more terms like AI, machine learning, and neural networks, but it's hard to understand what they really are. Therefore, Yulia Gavrilova, a clinical psychologist who also develops ...