363 citations · 433 across the 12 of their papers we have counts for
12 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…
Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design
Hritom Das, Rocco D. Febbo, Charlie P. Rizzo +3
The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. O…
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…
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment
James S. Plank, Catherine D. Schuman, Robert M. Patton
The OpenAI Gym project contains hundreds of control problems whose goal is to provide a testbed for reinforcement learning algorithms. One such problem is Freeway-ram-v0, where the…