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A voltage mode memristor bridge synaptic circuit with memristor emulators.

Sah MP, Yang C, Kim H, Chua L - Sensors (Basel) (2012)

Bottom Line: This study is an extension of the previous work advancing toward the circuit implementation where the architecture of the memristor bridge synapse is built with memristor emulator circuits.In addition, a simple neural network which performs both synaptic weighting and summation is built by combining memristor emulators-based synapses and differential amplifier circuits.The feasibility of the memristor bridge neural circuit is verified via SPICE simulations.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics and Information Engineering, Chonbuk National University, Jeonju 561-756, Korea. maheshwarsah@hotmail.com

ABSTRACT
A memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor. This study is an extension of the previous work advancing toward the circuit implementation where the architecture of the memristor bridge synapse is built with memristor emulator circuits. In addition, a simple neural network which performs both synaptic weighting and summation is built by combining memristor emulators-based synapses and differential amplifier circuits. The feasibility of the memristor bridge neural circuit is verified via SPICE simulations.

No MeSH data available.


Basic concept for implementing the memristor emulator (a) input resistance as a function of voltage vx; (b) equivalent circuit.
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f2-sensors-12-03587: Basic concept for implementing the memristor emulator (a) input resistance as a function of voltage vx; (b) equivalent circuit.

Mentions: As of today, memristors are not yet available on the market. In order to study memristor-based circuit, building memristor emulators is necessary. Two different approaches to build the memristor emulators are the pure analog circuit-based [25] and the analog-digital mixed-based [26,27]. The memristor emulator circuit adopted for this work is from [25]. The basic idea implemented to design the memristor emulator [25] is shown in Figure 2.


A voltage mode memristor bridge synaptic circuit with memristor emulators.

Sah MP, Yang C, Kim H, Chua L - Sensors (Basel) (2012)

Basic concept for implementing the memristor emulator (a) input resistance as a function of voltage vx; (b) equivalent circuit.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376599&req=5

f2-sensors-12-03587: Basic concept for implementing the memristor emulator (a) input resistance as a function of voltage vx; (b) equivalent circuit.
Mentions: As of today, memristors are not yet available on the market. In order to study memristor-based circuit, building memristor emulators is necessary. Two different approaches to build the memristor emulators are the pure analog circuit-based [25] and the analog-digital mixed-based [26,27]. The memristor emulator circuit adopted for this work is from [25]. The basic idea implemented to design the memristor emulator [25] is shown in Figure 2.

Bottom Line: This study is an extension of the previous work advancing toward the circuit implementation where the architecture of the memristor bridge synapse is built with memristor emulator circuits.In addition, a simple neural network which performs both synaptic weighting and summation is built by combining memristor emulators-based synapses and differential amplifier circuits.The feasibility of the memristor bridge neural circuit is verified via SPICE simulations.

View Article: PubMed Central - PubMed

Affiliation: Division of Electronics and Information Engineering, Chonbuk National University, Jeonju 561-756, Korea. maheshwarsah@hotmail.com

ABSTRACT
A memristor bridge neural circuit which is able to perform signed synaptic weighting was proposed in our previous study, where the synaptic operation was verified via software simulation of the mathematical model of the HP memristor. This study is an extension of the previous work advancing toward the circuit implementation where the architecture of the memristor bridge synapse is built with memristor emulator circuits. In addition, a simple neural network which performs both synaptic weighting and summation is built by combining memristor emulators-based synapses and differential amplifier circuits. The feasibility of the memristor bridge neural circuit is verified via SPICE simulations.

No MeSH data available.