Encoding and decoding information and artificial neural networks
OwnerHenry Markram, Ran Levi +2inventors
InventorsHenry Markram, Ran Levi, Kathryn Pamela Hess Bellwald, Felix Schuermann
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Abstract
In one implementation, a method is implemented by a neural network device and includes inputting a representation of topological structures in patterns of activity in a source neural network, wherein the activity is responsive to an input into the source neural network, processing the representation, and outputting a result of the processing of the representation. The processing is consistent with a training of the neural network to process different such representations of topological structures in patterns of activity in the source neural network.
Claims20
A device comprising:
- a neural network trained to produce:
- in response to a first input, an approximation of a first representation of topological structures in patterns of activity that would arise in a source recurrent neural network in response to the first input, wherein the first representation only provides an isomorphic topological reconstruction of at least a portion of a functional graph of the activity in the source recurrent neural network that arises in response to the first input,
- in response to a second input, an approximation of a second representation of topological structures in patterns of activity that would arise in the source recurrent neural network in response to the second input, wherein the second representation only provides an isomorphic topological reconstruction of at least a portion of at least a portion of a functional graph of the activity in the source recurrent neural network that arises in response to the first input, and
- in response to a third input, an approximation of a third representation of topological structures in patterns of activity that would arise in the source recurrent neural network in response to the third input, wherein the third representation only provides an isomorphic topological reconstruction of at least a portion of at least a portion of a functional graph of the activity in the source recurrent neural network that arises in response to the first input.
(canceled)
-19. (canceled)
A method implemented by a neural network device, the method comprising:
- inputting a representation of topological structures in patterns of activity in a source recurrent neural network, wherein the activity would be responsive to an input into the source recurrent neural network and wherein the representation only provides an isomorphic topological reconstruction of at least a portion of a functional graph of the activity in the source recurrent neural network responsive to the first input;
- processing the representation, wherein the processing is consistent with a training of the neural network to process different such representations of topological structures in patterns of activity in the source recurrent neural network;
- and
- outputting a result of the processing of the representation.
Dependencies are inferred from the claim text.