Comparison of electrical microstimulation artifact removal methods for high-channel-count prostheses

Wang, Feng; Chen, Xing; Roelfsema, Pieter R.

doi:10.1016/j.jneumeth.2024.110169

Cited by 2 publications

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Large-scale RF mapping without visual input for neuroprostheses in macaque and human visual cortex

Lozano,

Chen,

La Grouw

et al. 2024

Preprint

View full text Add to dashboard Cite

High-channel-count neuroprostheses could one day restore functional vision in blind individuals by delivering electrical pulses to electrodes in the visual cortex that elicit perceptions known as phosphenes. However, if a high number of electrodes are used, it becomes challenging and time-consuming to map the visual field locations of all phosphenes. Furthermore, many blind users are not able to maintain stable fixation, impeding the localization of phosphenes, or may perceive spontaneous visual phenomena that interfere with detection of electrically induced phosphenes. Here, we introduce NEural Unsupervised electrode mapping (NEUmap), a rapid, largely automated method for phosphene mapping that extracts spatial patterns in spontaneous activity across the visual cortex. As correlations between neuronal activity on nearby electrodes are stronger than those between distant electrodes, we first use dimensionality-reduction algorithms to generate maps of relative positions of electrodes. We then convert these maps from relative to absolute visual field coordinates while the subject maps out a small number of phosphenes manually. NEUmap generated maps across ~300-700 electrodes in each of two sighted monkeys and across 73-91 electrodes in each of three blind human volunteers. We report that the method allows rapid mapping of many electrodes using less than a second of resting-state data, with minimal effort from the subject, in the absence of vision.

show abstract

Large-scale RF mapping without visual input for neuroprostheses in macaque and human visual cortex

Lozano,

Chen,

La Grouw

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

Analytical Models of Experimental Artefacts in an Ill-Posed Nonlinear ODE System

Henrici,

Robbiani

2024

Mathematics

View full text Add to dashboard Cite

We discuss different approaches for the analytical description of a mechanical system used in control theory, aiming at the analytical modelling of experimental artefacts observed in the implementation of ideal searched trajectories. Starting from an established analytical solution, we develop an alternative analytical model for this solution with minimal deviations and then extend this starting point to a more flexible toolbox that incorporates a variety of phenomena that typically occur in real implementations of this mechanical system, thus providing an important step towards bridging the gap between theoretical models and experimental reality.

show abstract

Comparison of electrical microstimulation artifact removal methods for high-channel-count prostheses

Cited by 2 publications

References 49 publications

Large-scale RF mapping without visual input for neuroprostheses in macaque and human visual cortex

Large-scale RF mapping without visual input for neuroprostheses in macaque and human visual cortex

Analytical Models of Experimental Artefacts in an Ill-Posed Nonlinear ODE System

Contact Info

Product

Resources

About