Spectral distribution of local field potential responses to electrical stimulation of the retina

Yan T Wong, Kerry Halupka, Tatiana Kameneva, Shaun L. Cloherty, David B Grayden, Anthony N Burkitt, Hamish Meffin, Mohit N Shivdasani

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)


Objective. Different frequency bands of the local field potential (LFP) have been shown to reflect neuronal activity occurring at varying cortical scales. As such, recordings of the LFP may offer a novel way to test the efficacy of neural prostheses and allow improvement of stimulation strategies via neural feedback. Here we use LFP measurements from visual cortex to characterize neural responses to electrical stimulation of the retina. We aim to show that the LFP is a viable signal that contains sufficient information to optimize the performance of sensory neural prostheses. Approach. Clinically relevant electrode arrays were implanted in the suprachoroidal space of one eye in four felines. LFPs were simultaneously recorded in response to stimulation of individual electrodes using penetrating microelectrode arrays from the visual cortex. The frequency response of each electrode was extracted using multi-taper spectral analysis and the uniqueness of the responses was determined via a linear decoder. Main results. We found that cortical LFPs are reliably modulated by electrical stimulation of the retina and that the responses are spatially localized. We further characterized the spectral distribution of responses, with maximum information being contained in the low and high gamma bands. Finally, we found that LFP responses are unique to a large range of stimulus parameters (~40) with a maximum conveyable information rate of 6.1 bits. Significance. These results show that the LFP can be used to validate responses to electrical stimulation of the retina and we provide the first steps towards using these responses to provide more efficacious stimulation strategies.
Original languageEnglish
Article number036003
Number of pages14
JournalJournal of Neural Engineering
Issue number3
Publication statusPublished - Jun 2016
Externally publishedYes


  • local field potentials
  • vision prosthesis
  • retinal prosthesis
  • decoding

Cite this