Daisy chain circuit for serial connection of neuron circuits

Details Daisy chain circuit for serial connection of neuron circuits Daisy chain circuit for serial connection of neuron circuits

1995-06-07

1998-01-20

Moore, David K.

395 20, 395 27, 395 24, G06F 1500

Patent

active

057108692

ABSTRACT:
Each daisy chain circuit is serially connected to the two adjacent neuron circuits, so that all the neuron circuits form a chain. The daisy chain circuit distinguishes between the two possible states of the neuron circuit (engaged or free) and identifies the first free "or ready to learn" neuron circuit in the chain, based on the respective values of the input (DCI) and output (DCO) signals of the daisy chain circuit. The ready to learn neuron circuit is the only neuron circuit of the neural network having daisy chain input and output signals complementary to each other. The daisy chain circuit includes a 1-bit register (601) controlled by a store enable signal (ST) which is active at initialization or, during the learning phase when a new neuron circuit is engaged. At initialization, all the Daisy registers of the chain are forced to a first logic value. The DCI input of the first daisy chain circuit in the chain is connected to a second logic value, such that after initialization, it is the ready to learn neuron circuit. In the learning phase, the ready to learn neuron's 1-bit daisy register contents are set to the second logic value by the store enable signal, it is said "engaged". As neurons are engaged, each subsequent neuron circuit in the chain then becomes the next ready to learn neuron circuit.

REFERENCES:
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M. Holler, et al, "A High Performance Adaptive Classifier Using Radial Basis Functions" Submitted to Government Microcircuit Applications Conference, Nov. 9-12, 1992, Las Vegas, Nevada, pp. 1-4.

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