Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks. (arXiv:2205.10081v1 [cs.CV])

Artificial neural networks have realized incredible successes at image
recognition, but the underlying mechanism of visual space representation
remains a huge mystery. Grid cells (2014 Nobel Prize) in the entorhinal cortex
support a periodic representation as a metric for coding space. Here, we
develop a self-supervised convolutional neural network to perform visual space
location, leading to the emergence of single-slit diffraction and double-slit
interference patterns of waves. Our discoveries reveal the nature of CNN
encoding visual space to a certain …

artificial artificial neural networks arxiv cv networks neural networks space