Michael Beyeler

According to our database, Michael Beyeler authored at least 32 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition.

Melani Sanchez-Garcia, Tushar Chauhan, Benoit R. Cottereau, Michael Beyeler

Biol. Cybern., April, 2023

Information Needs and Technology Use for Daily Living Activities at Home by People Who Are Blind.

Lily M. Turkstra, Alexa Van Os, Tanya Bhatia, Michael Beyeler

CoRR, 2023

Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice.

Aiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture.

Galen Pogoncheff, Jacob Granley, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses.

Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EyeTTS: Evaluating and Calibrating Eye Tracking for Mixed-Reality Locomotion.

Satyam Awasthi, Vivian Ross, Michael Beyeler, Tobias Höllerer

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

2022

Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses.

Jacob Granley, Alexander Riedel, Michael Beyeler

CoRR, 2022

A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision.

Jacob Granley, Lucas Relic, Michael Beyeler

CoRR, 2022

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

Melani Sanchez-Garcia, Michael Beyeler

CoRR, 2022

The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality.

Alex Rasla, Michael Beyeler

Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology, 2022

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

Jacob Granley, Lucas Relic, Michael Beyeler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses.

Ashley Bruce, Michael Beyeler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision.

Lucas Relic, Bowen Zhang, Yi-Lin Tuan, Michael Beyeler

Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

Immersive Virtual Reality Simulations of Bionic Vision.

Justin Kasowski, Michael Beyeler

Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

2021

Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review.

Justin Kasowski, Byron A. Johnson, Ryan Neydavood, Anvitha Akkaraju, Michael Beyeler

CoRR, 2021

Explainable AI for Retinal Prostheses: Predicting Electrode Deactivation from Routine Clinical Measures.

Zuying Hu, Michael Beyeler

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina.

Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

A Computational Model of Phosphene Appearance for Epiretinal Prostheses.

Jacob Granley, Michael Beyeler

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Towards Immersive Virtual Reality Simulations of Bionic Vision.

Justin Kasowski, Nathan Wu, Michael Beyeler

Proceedings of the AHs '21: Augmented Humans Conference 2021, 2021

Deep Learning-Based Scene Simplification for Bionic Vision.

Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler

Proceedings of the AHs '21: Augmented Humans Conference 2021, 2021

2019

Neural correlates of sparse coding and dimensionality reduction.

Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson, Nikil D. Dutt, Jeffrey L. Krichmar

PLoS Comput. Biol., 2019

Biophysical model of axonal stimulation in epiretinal visual prostheses.

Michael Beyeler

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants.

Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters.

Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

pulse2percept: A Python-based simulation framework for bionic vision.

Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem

Proceedings of the 16th Python in Science Conference 2017, 2017

2016

Cortical neural network models of visual motion perception for decision-making and reactive navigation.

Michael Beyeler

PhD thesis, 2016

2015

A GPU-accelerated cortical neural network model for visually guided robot navigation.

Michael Beyeler, Nicolas Oros, Nikil D. Dutt, Jeffrey L. Krichmar

Neural Networks, 2015

CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks.

Michael Beyeler, Kristofor D. Carlson, Ting-Shuo Chou, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex.

Michael Beyeler, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar

Neuroinformatics, 2014

Vision-based robust road lane detection in urban environments.

Michael Beyeler, Florian Mirus, Alexander Verl

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

GPGPU accelerated simulation and parameter tuning for neuromorphic applications.

Kristofor D. Carlson, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013

Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule.

Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar

Neural Networks, 2013