Digital-analog hybrid charge domain neuron circuit based on CMOS process

A digital-analog hybrid, neuron technology, applied in the field of artificial neural network, can solve the problems of no automatic design tools for analog circuits, difficult overall design of large-scale analog circuits, existence of static working current, etc., to avoid transmission distortion, low cost, The effect of flexible interfaces

Active Publication Date: 2018-01-05
合肥中科微电子创新中心有限公司
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Problems solved by technology

However, this structure has a disadvantage that there is a quiescent working current and a large power consumption.
Moreover, it is difficult to design large-scale analog circuits as a whole. There are no better automated design tools for analog circuits, and the design largely depends on the experience of the designer.

Method used

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  • Digital-analog hybrid charge domain neuron circuit based on CMOS process
  • Digital-analog hybrid charge domain neuron circuit based on CMOS process
  • Digital-analog hybrid charge domain neuron circuit based on CMOS process

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Embodiment Construction

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] figure 1 A schematic structural diagram of a neuron circuit based on a CMOS process, a digital-analog hybrid, and a charge domain provided by an embodiment of the present invention. Such as figure 1 As mentioned above, it mainly includes: 4bit DAC, neuron synapse circuit, 8bit ADC, activation function circuit and sequential circuit; its structure is as follows: the described 4bit DAC, neuron synapse circuit, 8bit ADC and activation function...

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Abstract

The invention discloses a digital-analog hybrid charge domain neuron circuit based on the CMOS process. The neuron circuit is characterized by comprising a 4bit DAC, a neuron synapse circuit, an 8bitADC, an activation function circuit and a sequential circuit, wherein the 4bit DAC, the neuron synapse circuit, the 8bit ADC and the activation function circuit are sequentially connected, and the sequential circuit is connected with the 4bit DAC, the neuron synapse circuit, the 8bit ADC and the activation function circuit. The neuron circuit has advantages of mature process, low cost, low power consumption and high universality.

Description

technical field [0001] The invention relates to the technical field of artificial neural networks, in particular to a CMOS technology-based, digital-analog mixed, charge-domain neuron circuit. Background technique [0002] There are about 10 billion neurons and about 60 trillion synapses, or connections, in the human cerebral cortex. The brain has a very efficient structure, specifically, the energy efficiency of the brain is about 10 per operation per second -16 joules, and the corresponding value of the best computers in use today is far greater than that of the human brain. [0003] Artificial neural network is to abstract the human brain neuron network from the perspective of information processing, establish a simple model, and form different networks according to different connection methods. In the past ten years, the research work of artificial neural network has been deepened, and great progress has been made. It has successfully solved many practical problems tha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063
Inventor 吴枫许磊张勇东陈松葛阳洋陈闽强杨艳君
Owner 合肥中科微电子创新中心有限公司
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