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Controlling aggregate signal amplitude from device arrays by segmentation and time-gating

  • US 10,692,573 B2
  • Filed: 09/10/2019
  • Issued: 06/23/2020
  • Est. Priority Date: 06/14/2018
  • Status: Active Grant
First Claim
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1. An artificial neural network, comprising:

  • at least one layer having a plurality of neurons;

    an array of resistive elements, the array providing a vector of current outputs equal to the analog vector-matrix product between (i) a vector of voltage inputs to the array encoding a vector of analog input values, corresponding to the plurality of neurons and (ii) a matrix of analog resistive weights within the array, corresponding to synaptic weights of the artificial neural network;

    first stage current mirrors, each of the first stage current mirrors being electrically coupled to a subset of the resistive elements through a local current accumulation wire; and

    a second stage current mirror, the second stage current mirror being electrically coupled to the first stage current mirrors through a global accumulation wire, whereineach of the first stage current mirrors includes at least one component having respective scaling factors selectable to scale the current in the local current accumulation wire, thus controlling the aggregate current on the global accumulation wire.

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