Cerebral programming
First Claim
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1. A method of training an in-vivo biological neural network in a living human using a controller, comprising:
- applying a cycle comprising;
stimulating a neural network by said controller applying at least an input signal to the network;
detecting an output response of the network by said controller; and
modifying said stimulation by said controller for at least a period of time if said response matches a desired at least approximate response; and
repeating said cycle of stimulation, detection and modification at least one more time until said neural network is trained to generate a desired output response for said input signal.
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Abstract
A method of training a biological neural network using a controller, comprising:
- applying a cycle comprising:
- stimulating a neural network by said controller applying at least an input signal to the network;
- detecting an output response of the network by said controller; and
- modifying said stimulation by said controller for at least a period of time if said response matches a desired at least approximate response; and
- repeating said cycle of stimulation, detection and modification at least one more time until said neural network is trained to generate a desired output response for said input signal.
- applying a cycle comprising:
55 Citations
66 Claims
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1. A method of training an in-vivo biological neural network in a living human using a controller, comprising:
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applying a cycle comprising; stimulating a neural network by said controller applying at least an input signal to the network; detecting an output response of the network by said controller; and modifying said stimulation by said controller for at least a period of time if said response matches a desired at least approximate response; and repeating said cycle of stimulation, detection and modification at least one more time until said neural network is trained to generate a desired output response for said input signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53)
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54. A method of training a biological neural network using a controller, comprising:
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applying a cycle comprising; stimulating a neural network by said controller applying at least an input signal, which is a localized signal, to the network, wherein said stimulating comprises applying a less localized stimulation; detecting an output response of the network by said controller, and modifying said stimulation by said controller for at least a period of time if said response matches a desired at least approximate response; and repeating said cycle of stimulation, detection and modification at least one more time until said neural network is trained to generate a desired output response for said input signal. - View Dependent Claims (55, 56, 57, 58, 59, 60, 61, 62)
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63. A method of training an in vitro biological neural network using a controller, comprising:
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applying a cycle comprising; stimulating a neural network by said controller applying at least an input signal to the network; detecting an output response of the network by said controller; and modifying said stimulation by said controller for at least a period of time if said response matches a desired at least approximate response; and repeating said cycle of stimulation, detection and modification at least one more time until said neural network is trained to generate a desired output response for said input signal. - View Dependent Claims (64, 65, 66)
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Specification