1 citations · 1 across the 1 of their papers we have counts for
4 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…
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments
Shruti R. Kulkarni, Aaron Young, Prasanna Date +12
This work describes the investigation of neuromorphic computing-based spiking neural network (SNN) models used to filter data from sensor electronics in high energy physics experim…
Disclosure of a Neuromorphic Starter Kit
James S. Plank, Bryson Gullett, Adam Z. Foshie +2
This paper presents a Neuromorphic Starter Kit, which has been designed to help a variety of research groups perform research, exploration and real-world demonstrations of brain-ba…