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07/09/2021
SITHCon: A neural network robust to variations in input scaling on the time dimension
In machine learning, convolutional neural networks (CNNs) have been extr...
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04/09/2021
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
Extracting temporal relationships over a range of scales is a hallmark o...
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01/26/2021
Predicting the future with a scale-invariant temporal memory for the past
In recent years it has become clear that the brain maintains a temporal ...
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02/18/2018
Estimating scale-invariant future in continuous time
Natural learners must compute an estimate of future outcomes that follow...
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12/19/2017
Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world
In both the human brain and any general artificial intelligence (AI), a ...
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11/22/2012
