Liquid Neural Networks

A neural network architecture proposed by an MIT research team, inspired by the nervous system of the nematode C. elegans. Its defining characteristic is that the time constants of neurons change dynamically in response to inputs, making it well suited for processing irregular time-series data with high parameter efficiency.