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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.


Memristor bridge synaptic circuit. The memristor bridge on the left performs the weighting operation while the differential amplifier on the right performs the voltage to current conversion.
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f7-sensors-12-03587: Memristor bridge synaptic circuit. The memristor bridge on the left performs the weighting operation while the differential amplifier on the right performs the voltage to current conversion.

Mentions: The differential amplifier as shown in Figure 7 is used for voltage to current converter. The output current across differential amplifier for input signal Vs is given as:(23)I0=gmVsm2=gmξ×Vs2where gm is the transconductance of Mosfet.


A voltage mode memristor bridge synaptic circuit with memristor emulators.

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

Memristor bridge synaptic circuit. The memristor bridge on the left performs the weighting operation while the differential amplifier on the right performs the voltage to current conversion.
© Copyright Policy
Related In: Results  -  Collection

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

f7-sensors-12-03587: Memristor bridge synaptic circuit. The memristor bridge on the left performs the weighting operation while the differential amplifier on the right performs the voltage to current conversion.
Mentions: The differential amplifier as shown in Figure 7 is used for voltage to current converter. The output current across differential amplifier for input signal Vs is given as:(23)I0=gmVsm2=gmξ×Vs2where gm is the transconductance of Mosfet.

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.