Computational model of electrical stimulation of a retinal ganglion cell with hexagonally arranged electrodes

Author(s):  
M. Abramian ◽  
N. H. Lovell ◽  
J. W. Morley ◽  
G. J. Suaning ◽  
S. Dokos
1999 ◽  
Vol 46 (5) ◽  
pp. 505-514 ◽  
Author(s):  
R.J. Greenberg ◽  
T.J. Velte ◽  
M.S. Humayun ◽  
G.N. Scarlatis ◽  
E. De Juan

2019 ◽  
Vol 486 (2) ◽  
pp. 258-261
Author(s):  
L. E. Petrovskaya ◽  
M. V. Roshchin ◽  
G. R. Smirnova ◽  
D. E. Kolotova ◽  
P. M. Balaban ◽  
...  

For the purpose of optogenetic prosthetics of the receptive field of the retinal ganglion cell, we have created a bicistronic genetic construct that carries genes of excitatory (channelorhodopsin2) and inhibitory (anionic channelorhodopsin) rhodopsins. A distinctive feature of this construct is the combination of two genes into one construct with the mutant IRES inserted between them, which ensures precise ratio of the expression levels of the first and second gene in each transfected cell. It was found that the illumination of the central part of transfected neuron with light with a wavelength of 470 nm causes the generation of action potentials in the cell. At the same time, light stimulation of the periphery of the neuron causes cessation of the generation of action potentials. Thus, we were able to simulate the ON-OFF interaction of the receptive field of the retinal ganglion cell using optogenetic methods. Theoretically, this construction can be used for optogenetic prosthetics of degenerative retina in case of its delivery to ganglion cells using lentiviral vectors.


2018 ◽  
Author(s):  
Daniel Rathbun ◽  
Nima Ghorbani ◽  
Hamed Shabani ◽  
Eberhart Zrenner ◽  
Zohreh Hosseinzadeh

Bionic retinal implants are gaining acceptance in the treatment of blindness from degenerative diseases including retinitis pigmentosa and macular degeneration. A current obstacle to the improved performance of such implants is the difficulty of comparing the results of disparate experiments. Another obstacle is the current difficulty in selectively activating the many different retinal ganglion cell types that are used as separate pathways for visual information to the brain. To address these obstacles, we propose a modelling framework based on white noise stimulation and reverse correlation.In this perspective, we first outline early developments in visual retinal physiology leading up to the implementation of white noise stimuli and spike-triggered averaging. We then review recent efforts to adapt the white noise method for electrical stimulation of the retina and some of the nuances of this approach. Based on such white noise methods, we describe a modelling framework whereby the effect of any arbitrary electrical stimulus on a ganglion cell’s neural code can be better understood. This framework should additionally disentangle the effects of stimulation on photoreceptor, bipolar cell and retinal ganglion cell – ultimately supporting selective stimulation of specific ganglion cell types for a more nuanced bionic retinal implant. Finally, we point to upcoming considerations in this rapidly developing domain of research.


2020 ◽  
Vol 14 ◽  
Author(s):  
Sudarshan Sekhar ◽  
Poornima Ramesh ◽  
Giacomo Bassetto ◽  
Eberhart Zrenner ◽  
Jakob H. Macke ◽  
...  

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