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Dylan Richard Muir

As seen in: Nature
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Articles

The road to commercial success for neuromorphic technologies - Nature Communications

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By Dylan Richard Muir
| Nature Verified
Abstract Neuromorphic technologies adapt biological neural principles to synthesise high-efficiency computational devices, characterised by continuous real-time operation and sparse event-based communication. After several false starts, a confluence of advances now promises widespread commercial adoption.
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Low-power Spiking Neural Network audio source localisation using a Hilbert Transform audio event encoding scheme - Communications Engineering

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By Dylan Richard Muir
| Nature Verified
Abstract Sound source localisation is used in many consumer devices, to isolate audio from individual speakers and reject noise. Localization is frequently accomplished by “beamforming”, which combines phase-shifted audio streams to increase power from chosen source directions, under a known microphone array geometry. Dense band-pass filters are often needed to obtain narrowband signal components from wideband audio.
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[2410.16613] Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor

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By Dylan S. Richard, Dylan Richard Muir, Guoxu Zhaoa, Yuya Ling
| arxiv.org
Open access is only possible with YOUR support. Give to arXiv this week to help keep science open for all.
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