Placing trainable nonlinear functions on connections in analogue networks enables efficient representation of smooth continuous targets with hardware transfer at projected 30 microwatt power.
Chua, Memristor-the missing circuit element, IEEE Transactions on Circuit Theory 18 (5) (1971) 507–519
3 Pith papers cite this work, alongside 10,002 external citations. Polarity classification is still indexing.
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A neuron-astrocyte network with dual-timescale memory reduces median path lengths up to sixfold in partially observable grid-world navigation tasks.
Proposes RV32I-derived ISA and novel addressing for IMPLY memristive in-memory computing microcontrollers, with simulation energy evaluation and environmental sensor case study.
citing papers explorer
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Low-power analogue neural networks with trainable nonlinear connections for continuous control
Placing trainable nonlinear functions on connections in analogue networks enables efficient representation of smooth continuous targets with hardware transfer at projected 30 microwatt power.
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Dual-Timescale Memory in a Spiking Neuron-Astrocyte Network for Efficient Navigation
A neuron-astrocyte network with dual-timescale memory reduces median path lengths up to sixfold in partially observable grid-world navigation tasks.
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An Instruction Set Architecture for IMPLY-based Memristive Processing-in-Array
Proposes RV32I-derived ISA and novel addressing for IMPLY memristive in-memory computing microcontrollers, with simulation energy evaluation and environmental sensor case study.