Utilising reinforcement learning to develop strategies for driving auditory neural implants

Journal of neural engineering, Volume 13, Issue 4, 2016, Pages 046027

Cited by: 0|Bibtex|Views1|DOI:https://doi.org/10.1088/1741-2560/13/4/046027
WOS
Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

These results show the utility of reinforcement learning in the field of neural stimulation. These results can be coupled with existing sound processing technologies to develop new auditory prosthetics that are adaptable to the recipients current auditory pathway. The same process can theoretically be abstracted to other sensory and motor...More

Code:

Data:

Your rating :
0

 

Tags
Comments