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Integrated artificial neuron device

An integrated, neuron technology, applied in the field of artificial intelligence, to achieve the effect of high operating frequency, low device power consumption, and reduced number of parts

Active Publication Date: 2018-10-09
STMICROELECTRONICS SRL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] Solutions exist that use neurons of further reduced size and enable higher operating speeds, but these require the implementation of specific fabrication methods

Method used

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  • Integrated artificial neuron device
  • Integrated artificial neuron device
  • Integrated artificial neuron device

Examples

Experimental program
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Embodiment Construction

[0036] figure 1 shows schematically and electrically an integrated artificial neuron device DIS fabricated in and on a semiconductor substrate, which may be a bulk substrate or a silicon-on-insulator type substrate and Especially configured to implement the LIF neuron model.

[0037] Thus, in this case, the operation of the neuronal device DIS is similar to that of biological neurons.

[0038] The device DIS comprises an input node BE configured to receive an input signal Se, an output node BS configured to transmit an output signal Ss, and a reference node BR configured to receive a reference voltage (eg ground in this case).

[0039] The input signal can come from a single source at node BE, or it can be a combination of several different signals originating from different sources.

[0040] The apparatus also comprises an integrator circuit 1 configured to receive and integrate an input signal Se and to deliver an integrated input signal Si, and to deliver an output signa...

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Abstract

An integrated artificial neuron device includes an input signal node, an output signal node and a reference supply node. An integrator circuit receives and integrates an input signal to produce an integrated signal. A generator circuit receives the integrated signal and, when the integrated signal exceeds a threshold, delivers the output signal. The integrator circuit includes a main capacitor coupled between the input signal node and the reference supply node. The generator circuit includes a main MOS transistor coupled between the input signal node and the output signal node. The main MOS transistor has a gate that is coupled to the output signal node, and a substrate that is mutually coupled to the gate.

Description

[0001] priority claim [0002] This application claims priority from French patent application No. 1752383, filed March 23, 2017, the disclosure of which is hereby incorporated by reference in its entirety to the fullest extent permitted by law. technical field [0003] Embodiments relate to artificial intelligence, and in particular to the creation of networks of neurons in the context of what is known to those skilled in the art as "deep learning". More specifically, embodiments relate to integrated electronic circuits that simulate the behavior of neurons. Background technique [0004] A biological neuron consists of several parts including: one or more dendrites that carry electrical input signals; the body of the neuron or soma that accumulates input in the form of a potential difference between the interior and exterior of its membrane a signal; and an axon configured as an axon that transmits an output signal, or action potential, when the voltage between the exteri...

Claims

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Application Information

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IPC IPC(8): G06N3/063
CPCG06N3/063G06N3/049H01L27/027H01L27/0285G11C11/54G06N3/065G06N3/04H01L29/42376H03K3/356
Inventor P·加利T·贝德卡尔拉茨
Owner STMICROELECTRONICS SRL
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