Optical imaging of electrically evoked visual signals in cats: I. Responses to corneal and intravitreal electrical stimulation

Yan T. Wong, Luke E. Hallum, Spencer C. Chen, Norbert Dommel, Shaun L. Cloherty, John W. Morley, Gregg J. Suaning, Nigel H. Lovell

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)


Microelectronic retinal prostheses have been shown to restore the perception of light to the blind through electrical stimulation. Conventional recording techniques such as recording electrode arrays on the visual cortex can give a basic understanding of the events that occur during such stimulation events, but their finite size and number limits the spatial resolution achievable with them. Optical imaging of intrinsic signals (OIS imaging) allows for greater resolution (approximately 50 μm) of the activity in the cortex. This can be used to facilitate a greater understanding of the complex neurophysiological events that allow prosthetic vision. This paper shows responses to visual and electrical stimulation of the retina, and demonstrates that OIS imaging may be an effective technique in further refining stimulation techniques and implant designs for retinal prostheses.
Original languageEnglish
Title of host publication2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781424407873
Publication statusPublished - 2007
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2007 - Centre de Congres, Lyon, France
Duration: 22 Aug 200726 Aug 2007
Conference number: 29th
https://ieeexplore.ieee.org/xpl/conhome/4352184/proceeding (Proceedings)


ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2007
Abbreviated titleEMBC 2007
Otherin conjunction with the Biennial Conference of the French society of Biological and Medical Engineering (SFGBM)
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