Výsledky vyhledávání - "Rizzo, Charles A."

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A Neuromorphic Implementation of the DBSCAN Algorithm

Autor: Rizzo, Charles P., Plank, James S.

DBSCAN is an algorithm that performs clustering in the presence of noise. In this paper, we provide two constructions that allow DBSCAN to be implemented neuromorphically, using spiking neural networks. The first construction is termed "flat," result

Externí odkaz: http://arxiv.org/abs/2409.14298

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Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing

Autor: Rizzo, Charles P., Schuman, Catherine D., Plank, James S.

Spiking neural networks are powerful computational elements that pair well with event-based cameras (EBCs). In this work, we present two spiking neural network architectures that process events from EBCs: one that isolates and filters out events base

Externí odkaz: http://arxiv.org/abs/2401.15212

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The Case for RISP: A Reduced Instruction Spiking Processor

Autor: Plank, James S., Zheng, ChaoHui, Gullett, Bryson, Skuda, Nicholas, Rizzo, Charles, Schuman, Catherine D., Rose, Garrett S.

In this paper, we introduce RISP, a reduced instruction spiking processor. While most spiking neuroprocessors are based on the brain, or notions from the brain, we present the case for a spiking processor that simplifies rather than complicates. As s

Externí odkaz: http://arxiv.org/abs/2206.14016

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