Journal
INTEGRATION-THE VLSI JOURNAL
Volume 89, Issue -, Pages 178-184Publisher
ELSEVIER
DOI: 10.1016/j.vlsi.2022.12.004
Keywords
Arbitrary-order calculus; Memristors; Synapses
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This paper proposes the derivation of novel electronic bridge circuits for emulating artificial synapse behavior using arbitrary-order memristors. These bridge circuits serve as the cornerstone for on-chip neural network design. Sixty-four topologies are generated based on the characteristics and configuration type (incremental or decremental) of each charge or flux-controlled arbitrary-order memristor. Simulations are conducted to investigate the features of the arbitrary-order memristive bridge synapses, which show significant improvement in terms of symmetry, control, and update of synaptic weights.
With the recent advances in the study of the memristive elements along with the theory of arbitrary-order calculus, a wide amount of opportunities has emerged in manufacturing and modeling of devices, as well as in the development of applications of arbitrary-order memristive circuits. This paper addresses the derivation of novel electronic bridge circuits for emulating the behavior of artificial synapses, which are the cornerstone in the design of on-chip neural networks. Bridge topologies are based on arbitrary-order memristors and can perform positive, negative and zero synaptic weights. According the characteristics and type of configuration, incremental or decremental, of each charge-or flux-controlled arbitrary-order memristor, sixty-four topologies are generated. The dynamical behavior of each memristive bridge is also derived. Features of the arbitrary-order memristive bridge synapses are investigated via simulations. The results show a significant improvement in terms of symmetry, control and update of the arbitrary-order memristive synaptic weights.
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