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- W4300526783 abstract "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." @default.
- W4300526783 created "2022-10-03" @default.
- W4300526783 creator A5058297979 @default.
- W4300526783 date "2018-01-08" @default.
- W4300526783 modified "2023-10-16" @default.
- W4300526783 title "Spiking memristor logic gates are a type of time-variant perceptron" @default.
- W4300526783 doi "https://doi.org/10.48550/arxiv.1801.02508" @default.
- W4300526783 hasPublicationYear "2018" @default.
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