Analog Neuron With S-Domain Characteristic

Patent №

US 12,045,708

Granted

2024-07-23

Filed 2022

Owner

SiliconIntervention Inc.

Lab

AI components

0

Assignment

None on record

Dataset

AIPD

Application

17818228

An analog element for use as a neuron in a recurrent neural network is described, the analog element having memory of a prior layer state and being a continuous time circuit rather than having a discrete clocking interval. The element is characterized and described by the Laplace s-domain operator, as distinct from a digital solution that uses the z-domain operator appropriate for quantized time descriptions. Rather than using an all-pass filter, the analog equivalent of a unit delay in the z-domain, a finite gain integrator, which is a simpler circuit, may be used to provide the delay in the analog s-domain. The resulting circuit may be easily implemented at the transistor level.

G06N 3/065G06N 3/04G06N 3/063G06N 3/044G06N 3/0442

Ownership

SiliconIntervention Inc.

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