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<p>Compared to Boolean gates, threshold logic gates (TLGs) can substantially simplify the circuit design for artificial neural networks. Architectures based on classical CMOS components or metal-oxide memristors to implement TLG circuits have been reported. Recently we proposed a TLG design, called Receptron, based on nonlinear weights, thus widening the spectrum of Boolean computable functions by a single device, while relying on random search protocols for training. Here we present a theoretical and an experimental characterization of the Receptron model to determine the connection between the structure of the weights and function computability, identifying sub-linearity as an enabling feature. Exploiting these results, we fabricated an improved version of a Receptron device, enhancing its sub-linearity and random search efficiency thanks to an ad hoc circuit. This Receptron-based device can be considered for the integration with other conventional logic components for higher levels of computational complexity.</p>

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Non-linear reconfigurable threshold logic gates based on nanostructured metallic films

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年9月1日

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  • G. Martini,
  • B. Paroli,
  • P. Milani

摘要

Compared to Boolean gates, threshold logic gates (TLGs) can substantially simplify the circuit design for artificial neural networks. Architectures based on classical CMOS components or metal-oxide memristors to implement TLG circuits have been reported. Recently we proposed a TLG design, called Receptron, based on nonlinear weights, thus widening the spectrum of Boolean computable functions by a single device, while relying on random search protocols for training. Here we present a theoretical and an experimental characterization of the Receptron model to determine the connection between the structure of the weights and function computability, identifying sub-linearity as an enabling feature. Exploiting these results, we fabricated an improved version of a Receptron device, enhancing its sub-linearity and random search efficiency thanks to an ad hoc circuit. This Receptron-based device can be considered for the integration with other conventional logic components for higher levels of computational complexity.