Method and apparatus for constructing a dynamic adaptive neural network array (DANNA)
AssigneeUniversity of Tennessee Research Foundation
InventorsJ. Douglas Birdwell, Mark E. Dean, Catherine Schuman
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AssigneeUniversity of Tennessee Research Foundation
InventorsJ. Douglas Birdwell, Mark E. Dean, Catherine Schuman
Estimating the term…
A circuit element of a multi-dimensional dynamic adaptive neural network array (DANNA) may comprise a neuron/synapse select input functional to select the circuit element to function as one of a neuron and a synapse. In one embodiment of a DANNA array of such circuit elements, (wherein a circuit element or component thereof may be analog or digital), a destination neuron may be connected to a first neuron by a first synapse in one dimension, a second destination neuron may be connected to the first neuron by a second synapse in a second dimension and, optionally, a third destination neuron may be connected to the first neuron by a third synapse. The DANNA may thus form multiple levels of neuron and synapse circuit elements. In one embodiment, multiples of eight inputs may be selectively received by the circuit element selectively functioning as one of a neuron and a synapse. The dynamic adaptive neural network array (DANNA) may comprise a special purpose processor for performing one of a control, anomaly detection and classification application and may comprise a first structure connected to a neuroscience-inspired dynamic artificial neural network (NIDA), comprise substructures thereof or be combined with other neural networks.
Apparatus for a neuromorphic network comprising an artificial neural network for implementing a solution to one of a control, detection and classification application, the neuromorphic artificial neural network comprising a multi-dimensional array of interconnected, addressable circuit elements configured as one of a neuron and a synapse, the neuromorphic artificial neural network comprising:
A circuit element for use in a multi-dimensional artificial neural network array, the circuit element comprising a neuron/synapse select input for selecting one of a neuron function and a synapse function of the circuit element of the multi-dimensional array, the circuit element being addressably configurable and comprising:
A method for constructing a neuromorphic network comprising at least one artificial neural network, the artificial neural network comprising an addressably reconfigurable multi-dimensional array of interconnected circuit elements responsive to an external process, each circuit element having similar electronic components to one another, the interconnected circuit elements addressably configured, under special purpose program control of a special purpose computer processor, as one of a neuron and a synapse,
A method for use in an addressably configurable circuit element of an artificial neural network, the circuit element having a neuron/synapse select input for selecting one of a neuron and synapse function of the addressably configurable circuit element,
Dependencies are inferred from the claim text.