Michael Beyeler - Publications

Affiliations: 
2020- Computer Science University of California, Santa Barbara, Santa Barbara, CA, United States 
 2020- Psychological & Brain Sciences University of California, Santa Barbara, Santa Barbara, CA, United States 
Area:
computational neuroscience, neuroengineering, low vision, visual prostheses
Website:
http://bionicvisionlab.org/people/beyeler_michael

35 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Xu A, Hou Y, Niell CM, Beyeler M. Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice. Advances in Neural Information Processing Systems. 36: 15341-15357. PMID 39005944  0.616
2024 Granley J, Fauvel T, Chalk M, Beyeler M. Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. Advances in Neural Information Processing Systems. 36: 79376-79398. PMID 38984104  0.796
2024 Nadolskis LG, Turkstra LM, Larnyo E, Beyeler M. Great expectations: Aligning visual prosthetic development with implantee needs. Medrxiv : the Preprint Server For Health Sciences. PMID 38559196 DOI: 10.1101/2024.03.12.24304186  0.697
2024 Varshney A, Munns ME, Kasowski J, Zhou M, He C, Grafton ST, Giesbrecht B, Hegarty M, Beyeler M. Stress affects navigation strategies in immersive virtual reality. Scientific Reports. 14: 5949. PMID 38467699 DOI: 10.1038/s41598-024-56048-8  0.737
2024 Hou Y, Nanduri D, Granley J, Weiland JD, Beyeler M. Axonal stimulation affects the linear summation of single-point perception in three Argus II users. Journal of Neural Engineering. PMID 38457841 DOI: 10.1088/1741-2552/ad31c4  0.767
2024 Pogoncheff G, Hu Z, Rokem A, Beyeler M. Explainable machine learning predictions of perceptual sensitivity for retinal prostheses. Journal of Neural Engineering. 21. PMID 38452381 DOI: 10.1088/1741-2552/ad310f  0.684
2023 Granley J, Relic L, Beyeler M. Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses. Advances in Neural Information Processing Systems. 35: 22671-22685. PMID 37719469  0.798
2023 Hou Y, Nanduri D, Granley J, Weiland JD, Beyeler M. Axonal stimulation affects the linear summation of single-point perception in three Argus II users. Medrxiv : the Preprint Server For Health Sciences. PMID 37546858 DOI: 10.1101/2023.07.21.23292908  0.759
2023 Xu A, Hou Y, Niell CM, Beyeler M. Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice. Biorxiv : the Preprint Server For Biology. PMID 37398256 DOI: 10.1101/2023.05.30.542912  0.65
2023 Xu A, Beyeler M. Retinal ganglion cells undergo cell type-specific functional changes in a computational model of cone-mediated retinal degeneration. Frontiers in Neuroscience. 17: 1147729. PMID 37274203 DOI: 10.3389/fnins.2023.1147729  0.648
2023 Kasowski J, Johnson BA, Neydavood R, Akkaraju A, Beyeler M. A systematic review of extended reality (XR) for understanding and augmenting vision loss. Journal of Vision. 23: 5. PMID 37140911 DOI: 10.1167/jov.23.5.5  0.772
2023 Pogoncheff G, Hu Z, Rokem A, Beyeler M. Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses. Medrxiv : the Preprint Server For Health Sciences. PMID 36798201 DOI: 10.1101/2023.02.09.23285633  0.666
2023 Xu A, Beyeler M. Retinal ganglion cells undergo cell typeâ€"specific functional changes in a biophysically detailed model of retinal degeneration. Biorxiv : the Preprint Server For Biology. PMID 36711897 DOI: 10.1101/2023.01.13.523982  0.664
2022 Beyeler M, Sanchez-Garcia M. Towards a: AI-powered artificial vision for the treatment of incurable blindness. Journal of Neural Engineering. 19. PMID 36541463 DOI: 10.1088/1741-2552/aca69d  0.313
2022 Yücel EI, Sadeghi R, Kartha A, Montezuma SR, Dagnelie G, Rokem A, Boynton GM, Fine I, Beyeler M. Factors affecting two-point discrimination in Argus II patients. Frontiers in Neuroscience. 16: 901337. PMID 36090266 DOI: 10.3389/fnins.2022.901337  0.776
2022 Kasowski J, Beyeler M. Immersive Virtual Reality Simulations of Bionic Vision. Augmented Humans 2022. 2022: 82-93. PMID 35856703 DOI: 10.1145/3519391.3522752  0.782
2022 Chen K, Beyeler M, Krichmar JL. Cortical motion perception emerges from dimensionality reduction with evolved spike-timing dependent plasticity rules. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 35732492 DOI: 10.1523/JNEUROSCI.0384-22.2022  0.631
2021 Esquenazi RB, Meier K, Beyeler M, Boynton GM, Fine I. Learning to see again: Perceptual learning of simulated abnormal on- off-cell population responses in sighted individuals. Journal of Vision. 21: 10. PMID 34935878 DOI: 10.1167/jov.21.13.10  0.78
2021 Granley J, Beyeler M. A Computational Model of Phosphene Appearance for Epiretinal Prostheses. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 4477-4481. PMID 34892213 DOI: 10.1109/EMBC46164.2021.9629663  0.804
2019 Beyeler M, Boynton GM, Fine I, Rokem A. Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11768: 394-402. PMID 35373219 DOI: 10.1007/978-3-030-32254-0_44  0.801
2019 Brunton BW, Beyeler M. Data-driven models in human neuroscience and neuroengineering. Current Opinion in Neurobiology. 58: 21-29. PMID 31325670 DOI: 10.1016/J.Conb.2019.06.008  0.68
2019 Beyeler M, Rounds EL, Carlson KD, Dutt N, Krichmar JL. Neural correlates of sparse coding and dimensionality reduction. Plos Computational Biology. 15: e1006908. PMID 31246948 DOI: 10.1371/Journal.Pcbi.1006908  0.689
2019 Beyeler M, Nanduri D, Weiland JD, Rokem A, Boynton GM, Fine I. A model of ganglion axon pathways accounts for percepts elicited by retinal implants. Scientific Reports. 9: 9199. PMID 31235711 DOI: 10.1038/S41598-019-45416-4  0.812
2019 Beyeler M. Commentary: Detailed Visual Cortical Responses Generated by Retinal Sheet Transplants in Rats With Severe Retinal Degeneration. Frontiers in Neuroscience. 13: 471. PMID 31133795 DOI: 10.3389/Fnins.2019.00471  0.47
2019 Esquenazi R, Meier K, Beyeler M, Boynton G, Fine I. Learning to see again: Perceptual learning for sight restoration technologies Journal of Vision. 19: 36. DOI: 10.1167/19.15.36  0.758
2018 Beyeler M, Nanduri D, Weiland J, Rokem A, Boynton G, Fine I. Optimizing stimulation protocols for prosthetic vision based on retinal anatomy Journal of Vision. 18: 205. DOI: 10.1167/18.10.205  0.77
2017 Beyeler M, Rokem A, Boynton G, Fine I. Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies. Journal of Neural Engineering. PMID 28612755 DOI: 10.1088/1741-2552/Aa795E  0.795
2017 Beyeler M, Rokem A, Boynton GM, Fine I. Improving retinal prostheses using the “virtual patient” Journal of Vision. 17: 11. DOI: 10.1167/17.15.11  0.763
2017 Beyeler M, Rokem A, Boynton G, Fine I. Modeling the perceptual experience of retinal prosthesis patients Journal of Vision. 17: 573. DOI: 10.1167/17.10.573  0.772
2016 Beyeler M, Dutt N, Krichmar JL. 3D Visual Response Properties of MSTd Emerge from an Efficient, Sparse Population Code. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 8399-415. PMID 27511012 DOI: 10.1523/Jneurosci.0396-16.2016  0.713
2015 Beyeler M, Oros N, Dutt N, Krichmar JL. A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks : the Official Journal of the International Neural Network Society. PMID 26494281 DOI: 10.1016/J.Neunet.2015.09.005  0.772
2015 Beyeler M, Carlson KD, Chou TS, Dutt N, Krichmar JL. CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280424  0.666
2014 Beyeler M, Richert M, Dutt ND, Krichmar JL. Efficient spiking neural network model of pattern motion selectivity in visual cortex. Neuroinformatics. 12: 435-54. PMID 24497233 DOI: 10.1007/S12021-014-9220-Y  0.769
2014 Carlson KD, Beyeler M, Dutt N, Krichmar JL. GPGPU accelerated simulation and parameter tuning for neuromorphic applications Proceedings of the Asia and South Pacific Design Automation Conference, Asp-Dac. 570-577. DOI: 10.1109/ASPDAC.2014.6742952  0.637
2013 Beyeler M, Dutt ND, Krichmar JL. Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. Neural Networks : the Official Journal of the International Neural Network Society. 48: 109-24. PMID 23994510 DOI: 10.1016/J.Neunet.2013.07.012  0.711
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