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Found 4 papers, 2 papers with code
Integrating Motion into Vision Models for Better Visual Prediction
We demonstrate an improved vision system that learns a model of its environment using a self-supervised, predictive learning method.
Thermodynamic Neural Network
This work describes a thermodynamically motivated neural network model that self-organizes to transport charge associated with internal and external potentials while in contact with a thermal bath.
Neurons and Cognition Physics and Society
Saccadic Predictive Vision Model with a Fovea
We propose a model that emulates saccades, the rapid movements of the eye, called the Error Saccade Model, based on the prediction error of the Predictive Vision Model (PVM).
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
These regularities are hard to label for training supervised machine learning algorithms; consequently, algorithms need to learn these regularities from the real world in an unsupervised way.
