A short, sharp probe to the cerebral cortex would cause full body paralysis.

M3GAN, also known as Multi-modal Multi-scale Generative Adversarial Networks, is a type of deep learning architecture used for generative tasks such as image synthesis, style transfer, and super-resolution. It uses a combination of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to generate diverse and high-quality outputs. See also: Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning, Image Synthesis