Michael Beyeler

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Virtual Reality

Biologically Plausible

Top Venues

Publications

Yuchen Hou, Laya Pullela, Jiaxin Su, Sriya Aluru, Shivani Sista, Xiankun Lu, Michael Beyeler
Predicting the Temporal Dynamics of Prosthetic Vision. CoRR (2024)
Satyam Awasthi, Vivian Ross, Sydney Lim, Michael Beyeler, Tobias Höllerer
Eye Tracking Performance in Mobile Mixed Reality. VR Workshops (2024)
Galen Pogoncheff, Jacob Granley, Michael Beyeler
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. CoRR (2023)
Aiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice. NeurIPS (2023)
Galen Pogoncheff, Jacob Granley, Michael Beyeler
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. NeurIPS (2023)
Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. CoRR (2023)
Lily M. Turkstra, Alexa Van Os, Tanya Bhatia, Michael Beyeler
Information Needs and Technology Use for Daily Living Activities at Home by People Who Are Blind. CoRR (2023)
Melani Sanchez-Garcia, Tushar Chauhan, Benoit R. Cottereau, Michael Beyeler
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition. Biol. Cybern. 117 (1) (2023)
Satyam Awasthi, Vivian Ross, Michael Beyeler, Tobias Höllerer
EyeTTS: Evaluating and Calibrating Eye Tracking for Mixed-Reality Locomotion. ISMAR-Adjunct (2023)
Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. NeurIPS (2023)
Justin Kasowski, Michael Beyeler
Immersive Virtual Reality Simulations of Bionic Vision. AHs (2022)
Justin Kasowski, Michael Beyeler
Immersive Virtual Reality Simulations of Bionic Vision. CoRR (2022)
Melani Sanchez-Garcia, Michael Beyeler
Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition. CoRR (2022)
Jacob Granley, Lucas Relic, Michael Beyeler
A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision. CoRR (2022)
Lucas Relic, Bowen Zhang, Yi-Lin Tuan, Michael Beyeler
Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision. CoRR (2022)
Alex Rasla, Michael Beyeler
The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality. CoRR (2022)
Alex Rasla, Michael Beyeler
The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality. VRST (2022)
Jacob Granley, Lucas Relic, Michael Beyeler
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses. NeurIPS (2022)
Jacob Granley, Alexander Riedel, Michael Beyeler
Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses. CoRR (2022)
Ashley Bruce, Michael Beyeler
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses. MICCAI (8) (2022)
Lucas Relic, Bowen Zhang, Yi-Lin Tuan, Michael Beyeler
Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision. AHs (2022)
Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler
Deep Learning-Based Scene Simplification for Bionic Vision. CoRR (2021)
Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina. OMIA@MICCAI (2021)
Justin Kasowski, Nathan Wu, Michael Beyeler
Towards Immersive Virtual Reality Simulations of Bionic Vision. AHs (2021)
Jacob Granley, Michael Beyeler
A Computational Model of Phosphene Appearance for Epiretinal Prostheses. EMBC (2021)
Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler
Deep Learning-Based Scene Simplification for Bionic Vision. AHs (2021)
Shuyun Tang, Ziming Qi, Jacob Granley, Michael Beyeler
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina. CoRR (2021)
Justin Kasowski, Nathan Wu, Michael Beyeler
Towards Immersive Virtual Reality Simulations of Bionic Vision. CoRR (2021)
Zuying Hu, Michael Beyeler
Explainable AI for Retinal Prostheses: Predicting Electrode Deactivation from Routine Clinical Measures. NER (2021)
Justin Kasowski, Byron A. Johnson, Ryan Neydavood, Anvitha Akkaraju, Michael Beyeler
Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review. CoRR (2021)
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants. MICCAI (5) (2019)
Michael Beyeler
Biophysical model of axonal stimulation in epiretinal visual prostheses. NER (2019)
Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson, Nikil D. Dutt, Jeffrey L. Krichmar
Neural correlates of sparse coding and dimensionality reduction. PLoS Comput. Biol. 15 (6) (2019)
Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing, Stanislav Listopad, Emily L. Rounds, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters. IJCNN (2018)
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
pulse2percept: A Python-based simulation framework for bionic vision. SciPy (2017)
Michael Beyeler, Nicolas Oros, Nikil D. Dutt, Jeffrey L. Krichmar
A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks 72 (2015)
Michael Beyeler, Kristofor D. Carlson, Ting-Shuo Chou, Nikil D. Dutt, Jeffrey L. Krichmar
CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks. IJCNN (2015)
Michael Beyeler, Micah Richert, Nikil D. Dutt, Jeffrey L. Krichmar
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics 12 (3) (2014)
Michael Beyeler, Florian Mirus, Alexander Verl
Vision-based robust road lane detection in urban environments. ICRA (2014)
Kristofor D. Carlson, Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
GPGPU accelerated simulation and parameter tuning for neuromorphic applications. ASP-DAC (2014)
Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. Neural Networks 48 (2013)