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| 001 | 1038476 | ||
| 005 | 20260123203310.0 | ||
| 024 | 7 | _ | |a 10.1109/TBCAS.2023.3342465 |2 doi |
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| 024 | 7 | _ | |a 1940-9990 |2 ISSN |
| 037 | _ | _ | |a FZJ-2025-01472 |
| 082 | _ | _ | |a 620 |
| 100 | 1 | _ | |a Löhler, Philipp |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a A Cell-Type Selective Stimulation and Recording System for Retinal Ganglion Cells |
| 260 | _ | _ | |a New York, NY |c 2024 |b IEEE |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a The authors would like to thank Thaameran Baskaran, Filip Yordanov,AhmedHabeel,MustafaAbdulsattar,andLauraHeyermann for their valuable support. |
| 520 | _ | _ | |a Abstract—Future retinal implants will require a stimulation selectivity between different sub-types of Retinal Ganglion Cells (RGCs) to evoke natural perceptions rather than phosphenes in patients. To achieve this, a cell-type specific stimulation pipeline is required that identifies target RGC sub-types from recorded input images and extracts the specific stimulation parameters to activate this cell-type selectively. Promising biological experiments showed that ON-/OFF- sustained/transient RGCs could be selectively activated by modulating repetition rate and amplitude of an electrical stimulation current in the kilohertz range. This research presents a 42 channel current controlled stimulation and recording system on chip (SoC) with parameter input from a real time target RGC selection algorithm. The SoC is able to stimulate retinal tissue with sinusoidal frequencies higher than 1 kHz at amplitudes of up to 200 µA at a supply voltage of 1.8 V. It also includes tunable recording units with an integrated action potential detection pipelinethatareabletoamplifysignalsbetween 1 Hz and 50 kHz. The required area of one stimulator is 0.0071 mm2, while one recording unit consumes an area of 0.0092 mm2. The application of sinusoidal stimulation currents in the kilohertz range towards retinal tissue leads to a suppressive response of only certain RGC sub-types that has not been oberved before, using electrical stimulation. Because this response is very similar to the natural light response of RGCs, this stimulation approach can lead to a more genuine visual perception for patients using retinal implants. |
| 536 | _ | _ | |a 5243 - Information Processing in Distributed Systems (POF4-524) |0 G:(DE-HGF)POF4-5243 |c POF4-524 |f POF IV |x 0 |
| 536 | _ | _ | |a GRK 2610 - GRK 2610: Innovative Schnittstellen zur Retina für optimiertes künstliches Sehen - InnoRetVision (424556709) |0 G:(GEPRIS)424556709 |c 424556709 |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Albert, Andreas |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Erbslöh, Andreas |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Nruthyathi, Nruthyathi |0 P:(DE-Juel1)188199 |b 3 |u fzj |
| 700 | 1 | _ | |a Müller, Frank |0 P:(DE-Juel1)131939 |b 4 |e Corresponding author |
| 700 | 1 | _ | |a Seidl, Karsten |0 P:(DE-HGF)0 |b 5 |
| 773 | _ | _ | |a 10.1109/TBCAS.2023.3342465 |g Vol. 18, no. 3, p. 498 - 510 |0 PERI:(DE-600)2260089-9 |n 3 |p 498 - 510 |t IEEE transactions on biomedical circuits and systems |v 18 |y 2024 |x 1932-4545 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1038476/files/IEEE%20Transactions_on-Biomedical_Nruthyathi_M%C3%BCller_01_2023.pdf |y Restricted |
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