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  5. Implementation of a Neuromorphic Development Platform with DANNA
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Implementation of a Neuromorphic Development Platform with DANNA

Date Issued
December 1, 2015
Author(s)
Chan, Jason Yen-Shen  
Advisor(s)
Mark Dean
Additional Advisor(s)
John D. Birdwell
Garrett Rose
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/39622
Abstract

Neuromorphic computing is the use of artificial neural networks to solve complex problems. The specialized computing field has been growing in interest during the past few years. Specialized hardware that function as neural networks can be utilized to solve specific problems unsuited for traditional computing architectures such as pattern classification and image recognition. However, these hardware platforms have neural network structures that are static, being limited to only perform a specific application, and cannot be used for other tasks. In this paper, the feasibility of a development platform utilizing a dynamic artificial neural network for researchers is discussed.

Subjects

Neural Networks

Neuromorphic Computin...

Neuroscience-Inspired...

Development Platform

Disciplines
Computer and Systems Architecture
Computer Engineering
Electrical and Computer Engineering
Electrical and Electronics
Hardware Systems
Degree
Master of Science
Major
Electrical Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

my_dissertation.pdf

Size

16.39 MB

Format

Adobe PDF

Checksum (MD5)

ae3e95f0cba2b53e167e357a88972768


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