A nine-transistor current-mode bistable memory cell in 180 nm CMOS is presented with independent tuning of threshold, hysteresis, and gain, shown via schematic simulations for spike-based logic gates and recurrent neural units.
Analog Versus Digital: Extrapolating from Electronics to Neurobiology
2 Pith papers cite this work, alongside 491 external citations. Polarity classification is still indexing.
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BMRUs enable analog recurrent neural network hardware via discrete outputs that suppress noise 20-fold, with one-to-one parameter-to-circuit mapping and linear power scaling for recurrence.
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A Fully Tunable Ultra-Low Power Current-Mode Memory Cell in Standard CMOS Technology
A nine-transistor current-mode bistable memory cell in 180 nm CMOS is presented with independent tuning of threshold, hysteresis, and gain, shown via schematic simulations for spike-based logic gates and recurrent neural units.
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Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations
BMRUs enable analog recurrent neural network hardware via discrete outputs that suppress noise 20-fold, with one-to-one parameter-to-circuit mapping and linear power scaling for recurrence.