End-to-end Learning of Safe Stimulation Parameters for Cortical Neuroprosthetic Vision
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| 发表在: | bioRxiv (Jan 26, 2025) |
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| 主要作者: | |
| 其他作者: | , , , , , , |
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Cold Spring Harbor Laboratory Press
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| 在线阅读: | Citation/Abstract Full text outside of ProQuest |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3159906414 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2692-8205 | ||
| 024 | 7 | |a 10.1101/2025.01.23.634543 |2 doi | |
| 035 | |a 3159906414 | ||
| 045 | 0 | |b d20250126 | |
| 100 | 1 | |a Küçükoğlu, Burcu | |
| 245 | 1 | |a End-to-end Learning of Safe Stimulation Parameters for Cortical Neuroprosthetic Vision | |
| 260 | |b Cold Spring Harbor Laboratory Press |c Jan 26, 2025 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Direct electrical stimulation of the brain via cortical visual neuroprostheses is a promising approach to restore basic sight for the visually impaired by inducing a percept of localized light called 'phosphenes'. Apart from the challenge of condensing complex sensory information into meaningful stimulation patterns at low temporal and spatial resolution, providing safe stimulation levels to the brain is crucial. We propose an end-to-end framework to learn optimal stimulation parameters (amplitude, pulse width and frequency) within safe biological constraints. The learned stimulation parameters are passed to a biologically plausible phosphene simulator which takes into account the size, brightness, and temporal dynamics of perceived phosphenes. Our experiments on naturalistic navigation videos demonstrate that constraining stimulation parameters to safe levels not only maintains task performance in image reconstruction from phosphenes but consistently results in more meaningful phosphene vision, while providing insights into the optimal range of stimulation parameters. Our study presents a stimulus-generating encoder that learns stimulation parameters (1) satisfying safety constraints, and (2) maximizing the combined objective of image reconstruction and phosphene interpretability with a highly realistic phosphene simulator accounting for temporal dynamics of stimulation. End-to-end learning of stimulation parameters this way enables enforcement of critical biological safety constraints as well as technical limits of the hardware at hand.Competing Interest StatementThe authors have declared no competing interest. | |
| 653 | |a Phosphenes | ||
| 653 | |a Vision | ||
| 653 | |a Image processing | ||
| 653 | |a Visual discrimination learning | ||
| 653 | |a Visual stimuli | ||
| 653 | |a Prosthetics | ||
| 653 | |a Electrical stimulation of the brain--ESB | ||
| 653 | |a Spatial discrimination learning | ||
| 653 | |a Electrical stimuli | ||
| 700 | 1 | |a Rueckauer, Bodo | |
| 700 | 1 | |a Jaap De Ruyter Van Steveninck | |
| 700 | 1 | |a Van Der Grinten, Maureen | |
| 700 | 1 | |a Güçlütürk, Yağmur | |
| 700 | 1 | |a Roelfsema, Pieter R | |
| 700 | 1 | |a Güçlü, Umut | |
| 700 | 1 | |a Marcel Van Gerven | |
| 773 | 0 | |t bioRxiv |g (Jan 26, 2025) | |
| 786 | 0 | |d ProQuest |t Biological Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3159906414/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://www.biorxiv.org/content/10.1101/2025.01.23.634543v1 |