5 citations · 8 across the 3 of their papers we have counts for
3 papers
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…
Functional Specification of the RAVENS Neuroprocessor
Adam Z. Foshie, James S. Plank, Garrett S. Rose +1
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee. Its main focus has been as a vehicle for chip design with memristiv…
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…