363 citations · 433 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks
Hritom Das, Rocco D. Febbo, SNB Tushar +4
Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in t…
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…
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…
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman, Thomas E. Potok, Robert M. Patton +4
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture. This biologica…
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers
Thomas E. Potok, Catherine Schuman, Steven R. Young +6
Current Deep Learning approaches have been very successful using convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers. Three limita…