- Title Information
- Title
- Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces
- Name:
Personal
- Name Part
- Homer, Mark L
- Role
- Role Term:
Text
- creator
- Origin Information
- Copyright Date
- 2014
- Physical Description
- Extent
- 22, 112 p.
- digitalOrigin
- born digital
- Note
- Thesis (Ph.D. -- Brown University (2014)
- Name:
Personal
- Name Part
- Hochberg, Leigh
- Role
- Role Term:
Text
- Director
- Name:
Personal
- Name Part
- Black, Michael
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Darling, Eric
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Donoghue, John
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Harrison, Matthew
- Role
- Role Term:
Text
- Reader
- Name:
Corporate
- Name Part
- Brown University. Biomedical Engineering
- Role
- Role Term:
Text
- sponsor
- Genre (aat)
- theses
- Abstract
- Intracortical brain computer interfaces directly link the brain to external devices. When a person attempts to move, electrodes inserted into the motor cortex can record neural activity. These neural signals can be decoded to estimate the person's intended action. Through the technology, users with tetraplegia have controlled a computer cursor as well as a robotic arm. Here, several algorithms for better decoding are developed and evaluated. A total of four innovations are investigated. First, an approach based upon penalized maximum likelihood is shown to mitigate the negative effects of neural signal instabilities. Second, detecting when the decoding procedure makes an error is analyzed. Third, decoding outputs are mixed in a novel way to improve cursor control. Finally fourth, a nonparametric hierarchical decoder improves accuracy over current best practice. The performance gains are demonstrated using data variously from simulation, clinical research sessions with people with tetraplegia, and experiments with monkeys.
- Subject
- Topic
- Intracortical brain computer interfaces
- Subject
- Topic
- brain machine interfaces
- Subject
- Topic
- neural prosthesis
- Subject
- Topic
- neural signal decoding
- Subject (FAST)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1742078")
- Topic
- Brain-computer interfaces
- Subject (FAST)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1004795")
- Topic
- Machine learning
- Subject (FAST)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/1118281")
- Topic
- Signal processing
- Record Information
- Record Content Source (marcorg)
- RPB
- Record Creation Date
(encoding="iso8601")
- 20141006
- Language
- Language Term:
Code (ISO639-2B)
- eng
- Language Term:
Text
- English
- Identifier:
DOI
- 10.7301/Z07M069Z
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Access Condition:
restriction on access
- Collection is open for research.
- Type of Resource (primo)
- dissertations