Hnc, Inc.

Hnc Software, Inc.

Robert W Means

Horace J Sklar

Richard Calmbach

A cortronic neural network defines connections between neurons in a number of regions using target lists, which identify the output connections of each neuron and the connection strength. Neurons are preferably sparsely interconnected between regions. Training of connection weights employs a three stage process, which involves computation of the contribution to the input intensity of each neuron by every currently active neuron, a competition process that determines the next set of active neurons based on their current input intensity, and a weight adjustment process that updates and normalizes the connection weights based on which neurons won the competition process, and their connectivity with other winning neurons.

Cortronic neural networks with distributed processing

A systolic array of processing elements is connected to receive weight inputs and multiplexed data inputs for operation in two dimension convolution mode, or fully-connected neural network mode, or in cooperative, competitive neural network mode. Feature vector or two-dimensional image data is retrieved from external data memory and is transformed via input look-up table to input data for the systolic array. The convoluted image or outputs from the systolic array are scaled and transformed via output look-up table for storage in the external data memory. The architecture of the system allows it to calculate convolutions of any size within the same physical systolic array, merely by adjusting the programs that control the data flow.

Systolic array image processing system and method

A systolic array of processing elements is connected to receive weight inputs and multiplexed data inputs for operation in feedforward, partially-- or fully-connected neural network mode or in cooperative, competitive neural network mode. Feature vector or two-dimensional image data is retrieved from external data memory and is transformed via input look-up table to input data for the systolic array that performs a convolution with kernal values as weight inputs. The convoluted image or neuron outputs from the systolic array are scaled and transformed via output look-up table for storage in the external data memory.

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Rancho Santa Fe, CA, United States of America

Robert W Means