Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it ...
Researchers at the University of Tokyo show that a single recurrent spiking neural network can learn event identity, timing, ...
A hands-on guide to building and training a two-hidden-layer neural network regressor in C#, including data preparation, SGD, evaluation, and using the trained model.
A brain-inspired spiking network jointly learned what event would occur, when it would occur, and its likelihood using local ...