MULTI-MODAL NEURAL NETWORK FOR UNIVERSAL, ONLINE LEARNING
First Claim
1. A method comprising:
- receiving motor output from one or more neurons of a neural network in response to the one or more neurons firing;
determining a type of the motor output; and
based on the type of the motor output, selectively routing the motor output to one or more other neurons of the neural network for training.
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Abstract
In one embodiment, the present invention provides a neural network comprising multiple modalities. Each modality comprises multiple neurons. The neural network further comprises an interconnection lattice for cross-associating signaling between the neurons in different modalities. The interconnection lattice includes a plurality of perception neuron populations along a number of bottom-up signaling pathways, and a plurality of action neuron populations along a number of top-down signaling pathways. Each perception neuron along a bottom-up signaling pathway has a corresponding action neuron along a reciprocal top-down signaling pathway. An input neuron population configured to receive sensory input drives perception neurons along a number of bottom-up signaling pathways. A first set of perception neurons along bottom-up signaling pathways drive a first set of action neurons along top-down signaling pathways. Action neurons along a number of top-down signaling pathways drive an output neuron population configured to generate motor output.
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Citations
20 Claims
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1. A method comprising:
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receiving motor output from one or more neurons of a neural network in response to the one or more neurons firing; determining a type of the motor output; and based on the type of the motor output, selectively routing the motor output to one or more other neurons of the neural network for training. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system comprising a computer processor, a computer-readable hardware storage device, and program code embodied with the computer-readable hardware storage device for execution by the computer processor to implement a method comprising:
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receiving motor output from one or more neurons of a neural network in response to the one or more neurons firing; determining a type of the motor output; and based on the type of the motor output, selectively routing the motor output to one or more other neurons of the neural network for training. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A computer program product comprising a computer-readable hardware storage device having program code embodied therewith, the program code being executable by a computer to implement a method comprising:
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receiving motor output from one or more neurons of a neural network in response to the one or more neurons firing; determining a type of the motor output; and based on the type of the motor output, selectively routing the motor output to one or more other neurons of the neural network for training. - View Dependent Claims (18, 19, 20)
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Specification