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pro vyhledávání: '"Nicholas D. Skuda"'
Autor:
James S. Plank, Catherine D. Schuman, Nicholas D. Skuda, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell
Publikováno v:
IJCNN
There are a wide variety of training approaches for spiking neural networks for neuromorphic deployment. However, it is often not clear how these training algorithms perform or compare when applied across multiple neuromorphic hardware platforms and
Autor:
Stephen A. Sarles, Sakib Hasan, Catherine D. Schuman, Garrett S. Rose, Joseph S. Najem, C. Patrick Collier, Alex Belianinov, Ryan J. Weiss, Nicholas D. Skuda
Publikováno v:
2018 IEEE 13th Dallas Circuits and Systems Conference (DCAS).
Neuromorphic computing refers to a variety of brain-inspired computers, devices, and models inspired by the interconnectivity, performance, and energy efficiency of the human brain. Unlike the ubiquitous von Neumann computer architectures with comple
Autor:
Nicholas D. Skuda, Mark Edward Dean, Gangotree Chakma, Garrett S. Rose, Catherine D. Schuman, James S. Plank
Publikováno v:
ACM Great Lakes Symposium on VLSI
Resource constrained devices are the building blocks of the internet of things (IoT) era. Since the idea behind IoT is to develop an interconnected environment where the devices are tiny enough to operate with limited resources, several control syste
Publikováno v:
ISCAS
Neuromorphic computing systems are alternatives to conventional microprocessors, often built from unconventional hardware. Designing and evaluating these systems requires multiple levels of simulation, from the device level to the circuit level to th