Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Plank, James S."'
Autor:
Rizzo, Charles P., Plank, James S.
DBSCAN is an algorithm that performs clustering in the presence of noise. In this paper, we provide two constructions that allow DBSCAN to be implemented neuromorphically, using spiking neural networks. The first construction is termed "flat," result
Externí odkaz:
http://arxiv.org/abs/2409.14298
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 process events from EBCs: one that isolates and filters out events base
Externí odkaz:
http://arxiv.org/abs/2401.15212
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 memristive elements; however it has also been the vehicle for all-digital CMOS
Externí odkaz:
http://arxiv.org/abs/2307.15232
Autor:
Das, Hritom, Febbo, Rocco D., Rizzo, Charlie P., Chakraborty, Nishith N., Plank, James S., Rose, Garrett S.
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2023
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. Our proposed synapse demonstrates reliability in the face of process va
Externí odkaz:
http://arxiv.org/abs/2305.16418
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. A prototype ki
Externí odkaz:
http://arxiv.org/abs/2211.04526
Autor:
Plank, James S., Zheng, ChaoHui, Gullett, Bryson, Skuda, Nicholas, Rizzo, Charles, Schuman, Catherine D., Rose, Garrett S.
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 for a spiking processor that simplifies rather than complicates. As s
Externí odkaz:
http://arxiv.org/abs/2206.14016
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 observations presented to the agent are 128 bytes of RAM. While the g
Externí odkaz:
http://arxiv.org/abs/2109.01220
We provide an open source toolbox on https://github.com/ct2641/CAI/releases/tag/1.0 to conduct computer-aided investigation on the fundamental limits of information systems. The toolbox relies on either Gurobi or Cplex as the linear program solving e
Externí odkaz:
http://arxiv.org/abs/1910.08567
Autor:
Olin-Ammentorp, Wilkie, Beckmann, Karsten, Schuman, Catherine D., Plank, James S., Cady, Nathaniel C.
Artificial neural networks normally require precise weights to operate, despite their origins in biological systems, which can be highly variable and noisy. When implementing artificial networks which utilize analog 'synaptic' devices to encode weigh
Externí odkaz:
http://arxiv.org/abs/1906.02796
Autor:
Schuman, Catherine D., Potok, Thomas E., Patton, Robert M., Birdwell, J. Douglas, Dean, Mark E., Rose, Garrett S., Plank, James S.
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 biologically inspired approach has created highly connected synthetic neurons a
Externí odkaz:
http://arxiv.org/abs/1705.06963