Beyeler, Michael

A model of ganglion axon pathways accounts for percepts elicited by retinal implants

Beyeler, M., Nanduri, D., Weiland, J. D., Rokem, A., Boynton, G. M., & Fine, I. (2019) · Scientific Reports

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 143

Neural correlates of sparse coding and dimensionality reduction

Beyeler, M., Rounds, E. L., Carlson, K. D., Dutt, N., & Krichmar, J. L. (2019) · PLOS Computational Biology

Neural dynamics and brain functionNeural Networks and Applications

Cited by 104

Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies

Beyeler, M., Rokem, A., Boynton, G. M., & Fine, I. (2017) · Journal of Neural Engineering

Neuroscience and Neural EngineeringVisual perception and processing mechanisms

Cited by 102

pulse2percept: A Python-based simulation framework for bionic vision

Beyeler, M., Boynton, G., Fine, I., & Rokem, A. (2017) · Proceedings of the 16th Python in Science Conference

Neuroscience and Neural EngineeringRetinal Development and Disorders

Cited by 56

Deep Learning–Based Scene Simplification for Bionic Vision

Han, N., Srivastava, S., Xu, A., Klein, D., & Beyeler, M. (2021) · Augmented Humans Conference 2021

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 45

Towards a Smart Bionic Eye : AI-powered artificial vision for the treatment of incurable blindness

Beyeler, M., & Sanchez-Garcia, M. (2022) · Journal of Neural Engineering

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 35

A computational model of phosphene appearance for epiretinal prostheses

Granley, J., & Beyeler, M. (2021) · 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 27

Immersive Virtual Reality Simulations of Bionic Vision

Kasowski, J., & Beyeler, M. (2022) · Augmented Humans 2022

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 22

Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses

Granley, J., Relic, L., & Beyeler, M. (2022) · arXiv

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 14

Axonal stimulation affects the linear summation of single-point perception in three Argus II users

Hou, Y., Nanduri, D., Granley, J., Weiland, J. D., & Beyeler, M. (2024) · Journal of Neural Engineering

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 14

Factors affecting two-point discrimination in argus II patients

Yücel, E. I., Sadeghi, R., Kartha, A., Montezuma, S. R., Dagnelie, G., Rokem, A., Boynton, G. M., Fine, I., & Beyeler, M. (2022) · Frontiers in Neuroscience

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 13

A model of ganglion axon pathways accounts for percepts elicited by retinal implants

Beyeler, M., Nanduri, D., Weiland, J. D., Rokem, A., Boynton, G. M., & Fine, I. (2018) · bioRxiv (Cold Spring Harbor Laboratory)

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 13

Explainable Machine Learning Predictions of Perceptual Sensitivity for Retinal Prostheses

Pogoncheff, G., Hu, Z., Rokem, A., & Beyeler, M. (2023) · Journal of Neural Engineering

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 9

Hybrid neural autoencoders for stimulus encoding in visual and other sensory neuroprostheses

Granley, J., Relic, L., & Beyeler, M. (2022) · Advances in Neural Information Processing Systems 35

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 5

Deep Learning--Based Scene Simplification for Bionic Vision

Han, N., Srivastava, S., Xu, A., Klein, D., & Beyeler, M. (2021) · arXiv

Neuroscience and Neural EngineeringTactile and Sensory Interactions

Cited by 4

Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition

Sanchez-Garcia, M., Chauhan, T., Cottereau, B. R., & Beyeler, M. (2022) · arXiv

Advanced Memory and Neural ComputingNeural dynamics and brain function

Cited by 3

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

Neuroscience and Neural EngineeringNeural dynamics and brain function

Cited by 0