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Michael Beyeler
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2020 – today
- 2024
- [c24]Yuchen Hou, Laya Pullela, Jiaxin Su, Sriya Aluru, Shivani Sista, Xiankun Lu, Michael Beyeler:
Predicting the Temporal Dynamics of Prosthetic Vision. EMBC 2024: 1-4 - [c23]Anika Arora, Lucas Nadolskis, Michael Beyeler, Misha Sra:
VisionAI - Shopping Assistance for People with Vision Impairments. ISMAR-Adjunct 2024: 377-378 - [c22]Satyam Awasthi, Vivian Ross, Sydney Lim, Michael Beyeler, Tobias Höllerer:
Eye Tracking Performance in Mobile Mixed Reality. VR Workshops 2024: 1049-1050 - [i14]Yuchen Hou, Laya Pullela, Jiaxin Su, Sriya Aluru, Shivani Sista, Xiankun Lu, Michael Beyeler:
Predicting the Temporal Dynamics of Prosthetic Vision. CoRR abs/2404.14591 (2024) - 2023
- [j5]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(1-2): 95-111 (2023) - [c21]Satyam Awasthi, Vivian Ross, Michael Beyeler, Tobias Höllerer:
EyeTTS: Evaluating and Calibrating Eye Tracking for Mixed-Reality Locomotion. ISMAR-Adjunct 2023: 479-480 - [c20]Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler:
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. NeurIPS 2023 - [c19]Galen Pogoncheff, Jacob Granley, Michael Beyeler:
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. NeurIPS 2023 - [c18]Aiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler:
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice. NeurIPS 2023 - [i13]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 abs/2305.03019 (2023) - [i12]Galen Pogoncheff, Jacob Granley, Michael Beyeler:
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. CoRR abs/2305.11275 (2023) - [i11]Jacob Granley, Tristan Fauvel, Matthew Chalk, Michael Beyeler:
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. CoRR abs/2306.13104 (2023) - 2022
- [c17]Justin Kasowski, Michael Beyeler
Immersive Virtual Reality Simulations of Bionic Vision. AHs 2022: 82-93 - [c16]Lucas Relic
Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision. AHs 2022: 323-325 - [c15]Ashley Bruce, Michael Beyeler
Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses. MICCAI (8) 2022: 594-603 - [c14]Jacob Granley, Lucas Relic, Michael Beyeler:
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses. NeurIPS 2022 - [c13]Alex Rasla
The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality. VRST 2022: 27:1-27:11 - [i10]Lucas Relic, Bowen Zhang, Yi-Lin Tuan, Michael Beyeler:
Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision. CoRR abs/2203.05604 (2022) - [i9]Justin Kasowski, Michael Beyeler:
Immersive Virtual Reality Simulations of Bionic Vision. CoRR abs/2203.05675 (2022) - [i8]Melani Sanchez-Garcia, Michael Beyeler:
Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition. CoRR abs/2205.10338 (2022) - [i7]Jacob Granley, Lucas Relic, Michael Beyeler:
A Hybrid Neural Autoencoder for Sensory Neuroprostheses and Its Applications in Bionic Vision. CoRR abs/2205.13623 (2022) - [i6]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 abs/2208.05066 (2022) - [i5]Jacob Granley, Alexander Riedel
Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses. CoRR abs/2209.13561 (2022) - 2021
- [c12]Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler
Deep Learning-Based Scene Simplification for Bionic Vision. AHs 2021: 45-54 - [c11]Justin Kasowski, Nathan Wu, Michael Beyeler
Towards Immersive Virtual Reality Simulations of Bionic Vision. AHs 2021: 313-315 - [c10]Jacob Granley, Michael Beyeler
A Computational Model of Phosphene Appearance for Epiretinal Prostheses. EMBC 2021: 4477-4481 - [c9]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: 62-71 - [c8]Zuying Hu, Michael Beyeler
Explainable AI for Retinal Prostheses: Predicting Electrode Deactivation from Routine Clinical Measures. NER 2021: 792-796 - [i4]Nicole Han, Sudhanshu Srivastava, Aiwen Xu, Devi Klein, Michael Beyeler
Deep Learning-Based Scene Simplification for Bionic Vision. CoRR abs/2102.00297 (2021) - [i3]Justin Kasowski, Nathan Wu, Michael Beyeler
Towards Immersive Virtual Reality Simulations of Bionic Vision. CoRR abs/2102.10678 (2021) - [i2]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 abs/2107.04721 (2021) - [i1]Justin Kasowski, Byron A. Johnson, Ryan Neydavood, Anvitha Akkaraju, Michael Beyeler:
Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review. CoRR abs/2109.04995 (2021)
2010 – 2019
- 2019
- [j4]Michael Beyeler
Neural correlates of sparse coding and dimensionality reduction. PLoS Comput. Biol. 15(6) (2019) - [c7]Michael Beyeler
Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants. MICCAI (5) 2019: 394-402 - [c6]Michael Beyeler
Biophysical model of axonal stimulation in epiretinal visual prostheses. NER 2019: 348-351 - 2018
- [c5]Ting-Shuo Chou, Hirak Jyoti Kashyap, Jinwei Xing
CARLsim 4: An Open Source Library for Large Scale, Biologically Detailed Spiking Neural Network Simulation using Heterogeneous Clusters. IJCNN 2018: 1-8 - 2017
- [c4]Michael Beyeler
pulse2percept: A Python-based simulation framework for bionic vision. SciPy 2017: 81-88 - 2016
- [b1]Michael Beyeler:
Cortical neural network models of visual motion perception for decision-making and reactive navigation. University of California, Irvine, USA, 2016 - 2015
- [j3]Michael Beyeler
A GPU-accelerated cortical neural network model for visually guided robot navigation. Neural Networks 72: 75-87 (2015) - [c3]Michael Beyeler
CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks. IJCNN 2015: 1-8 - 2014
- [j2]Michael Beyeler
Efficient Spiking Neural Network Model of Pattern Motion Selectivity in Visual Cortex. Neuroinformatics 12(3): 435-454 (2014) - [c2]Kristofor D. Carlson, Michael Beyeler
GPGPU accelerated simulation and parameter tuning for neuromorphic applications. ASP-DAC 2014: 570-577 - [c1]Michael Beyeler
Vision-based robust road lane detection in urban environments. ICRA 2014: 4920-4925 - 2013
- [j1]Michael Beyeler
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule. Neural Networks 48: 109-124 (2013)
Coauthor Index
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