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US 2019/0378007 A1Published application
Characterizing activity in a recurrent artificial neural network
AssigneeInait SA
InventorsHenry Markram, Ran Levi, Kathryn Pamela Hess Bellwald
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Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for characterizing activity in a recurrent artificial neural network. In one aspect, a method can include characterizing activity in an artificial neural network. The method is performed by data processing apparatus and can include identifying clique patterns of activity of the artificial neural network. The clique patterns of activity can enclose cavities.
Claims20
A method comprising:
- characterizing activity in an artificial neural network, the method performed by data processing apparatus and comprising identifying clique patterns of activity of the artificial neural network, wherein the clique patterns of activity enclose cavities.
A system comprising one or more computers operable to perform operations comprising:
- characterizing activity in an artificial neural network, comprising identifying clique patterns of activity of the artificial neural network, wherein the clique patterns of activity enclose cavities.
Dependencies are inferred from the claim text.