24 citations · 27 across the 5 of their papers we have counts for
4 papers · 1 filter
A Spatiotemporal Extension of the Neuromorphic DBSCAN Implementation
Charles P. Rizzo, James S. Plank
DBSCAN is an algorithm that denoises and clusters data. In prior work, we implemented the DBSCAN algorithm neuromorphically, introducing two constructions termed ``flat'' and ``sys…
A Neuromorphic Implementation of the DBSCAN Algorithm
Charles P. Rizzo, James S. Plank
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 sp…
Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
Charles P. Rizzo, Catherine D. Schuman, James S. Plank
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 p…
The Case for RISP: A Reduced Instruction Spiking Processor
James S. Plank, ChaoHui Zheng, Bryson Gullett +4
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…