Tunable Homojunction Field Effect Device Artificial Synapse Circuit

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Solution Overview

Problem

Traditional silicon-based CMOS devices require numerous transistors for neuromorphic synapse circuits, leading to high power consumption and large area, which is not suitable for low-power neuromorphic computing applications.

Innovation Solution

A tunable homojunction field effect device-based artificial synapse circuit using three ambipolar field effect devices and a capacitor, with specific connections and bias voltages to simulate spike-time-dependent plasticity, reducing the number of devices needed and achieving efficient neuromorphic functions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by stationary object

If traditional silicon-based CMOS devices are used to construct synapse circuits, then the circuit can achieve basic neuromorphic functions, but the power consumption becomes excessively high and the area becomes relatively large

Engineering Contradiction:
Improvepower consumptionVSAvoidnumber of transistors
Core Design Contradiction:
Use of energy by stationary objectVSDevice complexity

Solution Approach 1:

The patent merges multiple transistor functions into a single homojunction field effect device. The device integrates both presynaptic and postsynaptic functionalities that traditionally required separate transistor circuits, achieving synapse operations with a single device structure rather than multiple discrete transistors

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The homojunction field effect device performs multiple functions simultaneously: it acts as both a presynaptic neuron (receiving input signals) and a postsynaptic neuron (outputting signals), while also providing synaptic weight adjustment capabilities. This multi-functionality eliminates the need for separate dedicated circuits for each function

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Area of stationary object

If traditional silicon-based CMOS devices are used to construct synapse circuits, then the circuit can achieve basic neuromorphic functions, but the area becomes relatively large

Engineering Contradiction:
Improvecircuit areaVSAvoidnumber of transistors
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent merges multiple transistor functions into a single homojunction field effect device. The device integrates both presynaptic and postsynaptic functionalities that traditionally required separate transistor circuits, achieving synapse operations with a single device structure rather than multiple discrete transistors

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The device structure employs nested functional regions within the homojunction field effect device, where different operational zones are integrated within the single device footprint, allowing multiple functions to coexist in a compact nested arrangement

Inventive Principle:
Principle #7Nested doll (Nesting)

3Use of energy by stationary object

If traditional MOS devices are used for neuromorphic circuits, then the circuit can operate with basic functionality, but it cannot meet the requirements of low-power neuromorphic computing

Engineering Contradiction:
Improvepower consumptionVSAvoidfunctional plasticity
Core Design Contradiction:
Use of energy by stationary objectVSAdaptability or versatility

Solution Approach 1:

The patent changes the fundamental electrical parameters of the device by using homojunction field effect devices with adjustable threshold voltages and conductance states. This allows the device to dynamically adjust its electrical characteristics to simulate biological synaptic plasticity while maintaining low power consumption

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The circuit achieves simple and efficient neuromorphic functions with reduced power consumption and area, enabling miniaturization and complex biological information processing by cascading, and effectively simulates Hebbian and anti-Hebbian learning rules.

Implementation Method 1

The capacitor C is connected between the two gate electrodes G1A and G1B of M1, which achieves the charging/discharging operation via the current flowing through the transistors M2 and M3

Methodology Applied
Scientific EffectCapacitance: Capacitance

Implementation Method 2

The channel material layer uses a material with ambipolar field effect characteristics which is a low-dimensional semiconductor material

Methodology Applied
Scientific EffectField effect:

Data Source

PatentUS20230196084A1Tunable homojunction field effect device-based artificial synapse circuit and implementation method thereof
Publication Date: 2023.06.22 NANJING UNIV
  • US20230196084A1 patent drawing
  • US20230196084A1 patent drawing
  • US20230196084A1 patent drawing

AI summary

A tunable homojunction field effect device-based artificial synapse circuit includes a first tunable homojunction field effect device M1, a second tunable homojunction field effect device M2, a third tunable homojunction field effect device M3, and a capacitor C; the tunable homojunction field effect device can exhibit the electrical properties of NN junction, PP junction, PN junction, and NP junction under the control of gate voltage; in the circuit, whether the device M2 and the device M3 are turned on rely on the combined action of presynaptic pulse and postsynaptic pulse; compared with the circuit structure of a traditional CMOS circuit scheme which exhibits neural synaptic functions of spike-time-dependent plasticity and continuously adjustable pulse-to-synaptic weight, the circuit in the present solution requires a greatly reduced number of devices and shows the feature of reconfigurable function, exhibiting a great advantage in constructing low-power, high-density integrated bionic chips for future neuromorphic applications.