Frontiers of Information Technology & Electronic Engineering
>> 2021,
Volume 22,
Issue 6
doi:
10.1631/FITEE.2000085
Fractional-order memristive neural synaptic weighting achieved by pulse-based fracmemristor bridge circuit
Affiliation(s): College of Computer Science, Sichuan University, Chengdu 610065, China; School of Physics and Engineering Technology, Chengdu Normal University, Chengdu 611130, China; College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China; less
Received: 2020-02-23
Accepted: 2021-07-12
Available online: 2021-07-12
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Abstract
We propose a novel circuit for the fractional-order memristive neural synaptic weighting (FMNSW). The introduced circuit is different from the majority of the previous integer-order approaches and offers important advantages. Since the concept of memristor has been generalized from the classic integer-order memristor to the (), a challenging theoretical problem would be whether the can be employed to implement the or not. In this research, characteristics of the FMNSW, realized by a pulse-based bridge circuit, are investigated. First, the circuit configuration of the FMNSW is explained using a pulse-based bridge circuit. Second, the mathematical proof of the fractional-order learning capability of the FMNSW is analyzed. Finally, experimental work and analyses of the electrical characteristics of the FMNSW are presented. Strong ability of the FMNSW in explaining the cellular mechanisms that underlie learning and memory, which is superior to the traditional integer-order memristive neural synaptic weighting, is considered a major advantage for the proposed circuit.
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