Spiking memristor logic gates are a type of time-variant perceptron

Research output: Contribution to journalArticle (Academic Journal)peer-review


Memristors are low-power memory-holding resistors thought to be useful for neuromophic computing, which can compute via spike-interactions mediated through the device's short-term memory. Using interacting spikes, it is possible to build an AND gate that computes OR at the same time, similarly a full adder can be built that computes the arithmetical sum of its inputs. Here we show how these gates can be understood by modelling the memristors as a novel type of perceptron: one which is sensitive to input order. The memristor's memory can change the input weights for later inputs, and thus the memristor gates cannot be accurately described by a single perceptron, requiring either a network of time-invarient perceptrons or a complex time-varying self-reprogrammable perceptron. This work demonstrates the high functionality of memristor logic gates, and also that the addition of theasholding could enable the creation of a standard perceptron in hardware, which may have use in building neural net chips.
Original languageUndefined/Unknown
Publication statusPublished - 8 Jan 2018

Bibliographical note

8 pages, 3 figures. Poster presentation at a conference

Structured keywords

  • Memory


  • cs.ET
  • cs.AR
  • cs.NE
  • 68T-06, 94C-06
  • B.3.1; B.2.0; B.6.0; I.2.0; I.6.m; C.1.m

Cite this