[Tyler]

New learning procedure for neural networks
10 March 2016, 5:53 pm

Rustling leaves, a creaking branch: To a mouse, these sensory impressions may at first seem harmless -- but not if a cat suddenly bursts out of the bush. If so, they were clues of impending life-threatening danger. Scientists have now found how the brain can link sensory perceptions to events occurring after a delay. In a computer model, he has developed a learning procedure in which the model neurons can learn to distinguish between many different stimuli by adjusting their activity to the frequency of the cues. The model even works when there is a time delay between the cue and the event or outcome.

Source: Artificial Intelligence News -- ScienceDaily