Hardware implementation of a new artificial neuron

Richard Labib

doi:10.1142/S0129065705000402

Hardware implementation of a new artificial neuron

2011-11-21

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Richard Labib

DOI：10.1142/S0129065705000402

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This paper describes an FPGA (Field Programmable Gate Arrays) implementation of a new type of neuron, the Quantron. The goal is to demonstrate the capability of current technology to closely recreate the human body's reaction to a change of temperature. This is accomplished by creating a function that adds a number of kernels at different frequencies depending on the external temperature. Once the sum of the kernels reaches a certain threshold, the artificial neural network, equivalent to its biological counterpart, reacts by sending a specific output signal designed to trigger a response. The various elements of each subsystem are discussed and implemented in software and hardware. The results are analyzed in terms of accuracy and efficiency compared to the biological equivalent.

Keyword:

neural networks (NNs)

Field Programmable Gate Arrays (FPGAs)

artificially induced reaction

Quantron

thermal reaction

Hardware implementation of a new artificial neuron

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