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Found 7 papers, 0 papers with code
Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing
Spiking neural networks are powerful computational elements that pair well with event-based cameras (EBCs).
Functional Specification of the RAVENS Neuroprocessor
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee.
Disclosure of a Neuromorphic Starter Kit
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-based, neuromorphic processors and hardware environments.
The Case for RISP: A Reduced Instruction Spiking Processor
In this paper, we introduce RISP, a reduced instruction spiking processor.
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment
The OpenAI Gym project contains hundreds of control problems whose goal is to provide a testbed for reinforcement learning algorithms.
Stochasticity and Robustness in Spiking Neural Networks
We then train spiking networks which utilize IF neurons with and without noise and leakage, and experimentally confirm that the noisy networks are more robust.
A Survey of Neuromorphic Computing and Neural Networks in Hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices, and models that contrast the pervasive von Neumann computer architecture.
