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John Paul Strachan

Researcher at Hewlett-Packard

Publications -  201
Citations -  17412

John Paul Strachan is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Memristor & Neuromorphic engineering. The author has an hindex of 50, co-authored 190 publications receiving 12522 citations. Previous affiliations of John Paul Strachan include Daresbury Laboratory & Forschungszentrum Jülich.

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Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

TL;DR: The diffusive Ag-in-oxide memristor and its dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses, representing an advance in hardware implementation of neuromorphic functionalities.
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ISAAC: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars

TL;DR: This work explores an in-situ processing approach, where memristor crossbar arrays not only store input weights, but are also used to perform dot-product operations in an analog manner.
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The future of electronics based on memristive systems

TL;DR: The state of the art in memristor-based electronics is evaluated and the future development of such devices in on-chip memory, biologically inspired computing and general-purpose in-memory computing is explored.
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Analogue signal and image processing with large memristor crossbars

TL;DR: It is shown that reconfigurable memristor crossbars composed of hafnium oxide memristors on top of metal-oxide-semiconductor transistors are capable of analogue vector-matrix multiplication with array sizes of up to 128 × 64 cells.
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Fully memristive neural networks for pattern classification with unsupervised learning

TL;DR: It is shown that a diffusive memristor based on silver nanoparticles in a dielectric film can be used to create an artificial neuron with stochastic leaky integrate-and-fire dynamics and tunable integration time, which is determined by silver migration alone or its interaction with circuit capacitance.