Hybrid neural autoencoders for stimulus encoding in visual and other sensory neuroprostheses
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Computational optimization approaches can aid in the development of safe stimulation protocols because they allow faster exploration of the large parameter space and enable task-driven optimization of image processing strategies.
“Computational optimization approaches can also aid in the development of safe stimulation protocols, because they allow a faster exploration of the large parameter space and enable task-driven optimization of image processing strategies (Granley et al., 2022a; Fauvel and Chalk, 2022; White et al., 2019; Küçükoğlu et al., 2022; de Ruyter van Steveninck et al., 2022a; Ghaffari et al., 2021).”
From Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prostheses (2024) · cites this paper as Granley et al., 2022a
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van der Grinten, M., de Ruyter van Steveninck, J., Lozano, A., Pijnacker, L., Rueckauer, B., Roelfsema, P., van Gerven, M., van Wezel, R., Güçlü, U., & Güçlütürk, Y. (2024) · eLife · doi:10.7554/elife.85812 · Cited by 39 · see citing works
“…is required to condense complex visual information from the surroundings in an intelligible pattern of phosphenes ( de Ruyter van Steveninck et al., 2022a ; Lozano et al., 2020 ; Normann et al., 2009 ; Sanchez-Garcia et al., 2020 ; Troyk, 2017 ; Granley et al., 2022a ; Han et al., 2021 ).”
BackgroundMethodInfluentialBeyeler, M., & Sanchez-Garcia, M. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/aca69d · Cited by 34 · see citing works
Self-citationFares, H., Ronchini, M., Zamani, M., Farkhani, H., Chiappalone, M., Neftci, E. O., & Moradi, F. (2026) · npj Biomedical Innovations. · doi:10.1038/s44385-026-00074-w · Cited by 2 · see citing works
Percept-Aware Surgical Planning for Visual Cortical Prostheses with Vascular Avoidance
Pogoncheff, G., Wang, A., Granley, J., & Beyeler, M. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-38236-8_30
Self-citationGhosh, E., Wu, Y., Bahri, H., Pachauri, V., Gao, Z., Stegmaier, J., & Ingebrandt, S. (2026) · physica status solidi (a) · doi:10.1002/pssa.202600002
Scialom, E., Lonnqvist, B., Bornet, A., & Herzog, M. H. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae9227
Renshaw, K. T., & Pezaris, J. S. (2026) · Oxford University Press eBooks · doi:10.1093/9780197851494.003.0595
Deep Learning–Based Control of Electrically Evoked Activity in Human Visual Cortex
Moure, P., Granley, J., Grani, F., Soo, L., Lozano, A., López-Peco, R., Villamarin-Ortiz, A., Soto-Sanchez, C., Liu, S.-C., Beyeler, M., et al. (2025) · bioRxiv · doi:10.1101/2025.09.24.678361
“This inverse network was trained alongside the forward model (with frozen weights), similar to an autoencoder [30, 33, 34].”
Self-citation
- Authors
- Granley, J., Relic, L., & Beyeler, M.
- Venue
- Advances in Neural Information Processing Systems 35
- Published
- 2022
- Pages
- 22671-22685
- ISSN
- 1049-5258 (ISSN-L)
- OpenAlex
- W7133218671
- Cited by
- 5
- References
- 0
- Citations by year
- 2026: 5
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- neural information processing systems (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Keywords
- stimulus encoding, neural decoding, artificial retina
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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