- Title Information
- Title
- Decoding Biomarkers of Parkinson’s Disease Using Convolutional Regression Networks
- Abstract
- The applications of convolutional neural networks (CNN) are nearly endless. As a popular method for image classification, they have demonstrated the ability to categorize Parkinson’s symptomology using neurophysiologic spectral data as inputs. Regression networks, whose outputs are continuous versus categorical or binary, can potentially be a precise tool for identifying neural biomarkers of disease. Insights into such features may advance the implementation of closed-loop deep brain stimulation (DBS).
- Name
- Name Part
- Lee, Shane
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Liu, David
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Zheng, Bryan
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Asaad, Wael
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name:
Corporate
- Name Part
- Brown University. Alpert Medical School. Scholarly Concentration Program. Non-Scholarly Concentrator
- Role
- Role Term:
Text
- research program
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01036260")
- Topic
- Neural networks (Computer science)
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01053693")
- Topic
- Parkinson's disease
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00872004")
- Topic
- Computational neuroscience
- Language
- Language Term:
Text (ISO639-2B)
- English
- Origin Information
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2020
- Note
(displayLabel="Scholarly concentration")
- Non-Scholarly Concentrator
- Access Condition:
use and reproduction
(href="")
- All rights reserved
- Access Condition:
logo
(href="")
- Identifier:
DOI
- 10.26300/0236-vc19