Biophysical basis of the linear electrical receptive fields of retinal ganglion cells

Esler, Timothy; Maturana, Matias I.; Kerr, Robert R.; Grayden, David B.; Burkitt, Anthony N.; Meffin, Hamish

doi:10.1088/1741-2552/aacbaa

Cited by 18 publications

(23 citation statements)

References 59 publications

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“…Importantly, the STC analysis revealed that simple STAs, while often correct, had weak amplitudes due to the antagonistic effects of similarly effective cathodic-first and anodic-first biphasic pulses in the STA calculation process. A recent study that similarly examined the eRF can be found in (Esler et al 2018), demonstrating how these methods are being quickly adopted by the research community. Interestingly, this study showed that the types of linear models described here are good approximations for much more complex biophysical models of retinal electrical stimulation.…”

Section: Electrical Noise Stimulationmentioning

confidence: 99%

Spike-triggered average electrical stimuli as input filters for bionic vision—a perspective

Rathbun

Ghorbani²,

Shabani

et al. 2018

J. Neural Eng.

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Section: Electrical Noise Stimulationmentioning

confidence: 99%

Spike-triggered average electrical stimuli as input filters for bionic vision—a perspective

Rathbun

Ghorbani²,

Shabani

et al. 2018

J. Neural Eng.

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“…Ex vivo retinal recordings to patterns of multielectrode stimulation have shown that for direct activation of RGCs, electrodes interact linearly during simultaneous stimulation in 90% of RGCs (Jepson et al, 2014a;Maturana et al, 2016). This conclusion is also supported by theoretical studies of multielectrode stimulation of biologically detailed models of RGCs based on morphological reconstruction with Hodgkin-Huxley type dynamics (Esler et al, 2018b). Following this, Maturana et al (2016) showed that a model can accurately predict direct RGC responses to multielectrode stimulation if it is formulated in terms of an electrical receptive fields for each recorded RGC, which describes the contribution each electrode makes to stimulation of that cell in a linear weighted sum.…”

Section: Simultaneous Stimulationmentioning

confidence: 74%

Stimulation Strategies for Improving the Resolution of Retinal Prostheses

et al. 2020

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Electrical stimulation using implantable devices with arrays of stimulating electrodes is an emerging therapy for neurological diseases. The performance of these devices depends greatly on their ability to activate populations of neurons with high spatiotemporal resolution. To study electrical stimulation of populations of neurons, retina serves as a useful model because the neural network is arranged in a planar array that is easy to access. Moreover, retinal prostheses are under development to restore vision by replacing the function of damaged light sensitive photoreceptors, which makes retinal research directly relevant for curing blindness. Here we provide a progress review on stimulation strategies developed in recent years to improve the resolution of electrical stimulation in retinal prostheses. We focus on studies performed with explanted retinas, in which electrophysiological techniques are the most advanced. We summarize achievements in improving the spatial and temporal resolution of electrical stimulation of the retina and methods to selectively stimulate neurons with different visual functions. Future directions for retinal prostheses development are also discussed, which could provide insights for other types of neuromodulatory devices in which high-resolution electrical stimulation is required.

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“…1), with the identified axons extending toward the optic disc. Additionally, for each EI, the putative location of the axon initial segment (AIS), a region on the cell considered to be the most sensitive to electrical stimulation (Boiko et al, 2003;Esler et al, 2018b;Fried et al, 2009;Werginz et al, 2020), was assumed to be 13 μm from the soma center in the direction of the nearest axonal electrode, based on previous empirical measurements in the same experimental conditions (Sekirnjak et al, 2008).…”

Section: Resultsmentioning

confidence: 99%

Inference of Electrical Stimulation Sensitivity from Recorded Activity of Primate Retinal Ganglion Cells

Madugula

Grosberg

Shah

et al. 2021

Preprint

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SummaryHigh-fidelity sensory neural implants must be calibrated to precisely activate specific cells via extracellular stimulation. However, collecting and analyzing the required electrical stimulation data may be difficult in the clinic. A potential solution is to infer stimulation sensitivity from intrinsic electrical properties. Here, this inference was tested using large-scale high-density stimulation and recording from macaque retinal ganglion cells ex vivo. Electrodes recording larger spikes exhibited lower activation thresholds, with distinct trends for somas and axons, and consistent trends across cells and retinas. Thresholds for somatic electrodes increased with distance from the axon initial segment. Responses were inversely related to thresholds, and exhibited a steeper dependence on injected current for axonal than somatic electrodes. Dendritic electrodes were largely ineffective for eliciting spikes. Biophysical simulations qualitatively reproduced these findings. Inference of stimulation sensitivity was employed in simulated visual reconstruction, revealing that the approach could improve the function of future high-fidelity retinal implants.

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Biophysical basis of the linear electrical receptive fields of retinal ganglion cells

Cited by 18 publications

References 59 publications

Spike-triggered average electrical stimuli as input filters for bionic vision—a perspective

Spike-triggered average electrical stimuli as input filters for bionic vision—a perspective

Stimulation Strategies for Improving the Resolution of Retinal Prostheses

Inference of Electrical Stimulation Sensitivity from Recorded Activity of Primate Retinal Ganglion Cells

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