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)

GPGPU accelerated simulation and parameter tuning for neuromorphic applications. - Kristofor D. Carlson; Michael Beyeler; Nikil D. Dutt; Jeffrey L. Krichmar (ASP-DAC, 2014)

Vision-based robust road lane detection in urban environments. - Michael Beyeler; Florian Mirus; Alexander Verl (ICRA, 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)

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 (IJCNN, 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)

Cortical neural network models of visual motion perception for decision-making and reactive navigation. - Michael Beyeler (2016)

pulse2percept: A Python-based simulation framework for bionic vision. - Michael Beyeler; Geoffrey M. Boynton; Ione Fine; Ariel Rokem (SciPy, 2017)

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 (IJCNN, 2018)

Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants. - Michael Beyeler; Geoffrey M. Boynton; Ione Fine; Ariel Rokem (MICCAI (5), 2019)

Biophysical model of axonal stimulation in epiretinal visual prostheses. - Michael Beyeler (NER, 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)

Deep Learning-Based Scene Simplification for Bionic Vision. - Nicole Han; Sudhanshu Srivastava; Aiwen Xu; Devi Klein; Michael Beyeler (AHs, 2021)

Towards Immersive Virtual Reality Simulations of Bionic Vision. - Justin Kasowski; Nathan Wu; Michael Beyeler (AHs, 2021)

A Computational Model of Phosphene Appearance for Epiretinal Prostheses. - Jacob Granley; Michael Beyeler (EMBC, 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 (OMIA@MICCAI, 2021)

Explainable AI for Retinal Prostheses: Predicting Electrode Deactivation from Routine Clinical Measures. - Zuying Hu; Michael Beyeler (NER, 2021)

Furthering Visual Accessibility with Extended Reality (XR): A Systematic Review. - Justin Kasowski; Byron A. Johnson; Ryan Neydavood; Anvitha Akkaraju; Michael Beyeler (CoRR, 2021)

Immersive Virtual Reality Simulations of Bionic Vision. - Justin Kasowski; Michael Beyeler (AHs, 2022)

Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision. - Lucas Relic; Bowen Zhang; Yi-Lin Tuan; Michael Beyeler (AHs, 2022)

Greedy Optimization of Electrode Arrangement for Epiretinal Prostheses. - Ashley Bruce; Michael Beyeler (MICCAI (8), 2022)

Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses. - Jacob Granley; Lucas Relic; Michael Beyeler (NeurIPS, 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 (VRST, 2022)

Efficient visual object representation using a biologically plausible spike-latency code and winner-take-all inhibition. - Melani Sanchez-Garcia; 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)

Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses. - Jacob Granley; Alexander Riedel; Michael Beyeler (CoRR, 2022)

EyeTTS: Evaluating and Calibrating Eye Tracking for Mixed-Reality Locomotion. - Satyam Awasthi; Vivian Ross; Michael Beyeler; Tobias Höllerer (ISMAR-Adjunct, 2023)

Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses. - Jacob Granley; Tristan Fauvel; Matthew Chalk; Michael Beyeler (NeurIPS, 2023)

Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture. - Galen Pogoncheff; Jacob Granley; Michael Beyeler (NeurIPS, 2023)

Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice. - Aiwen Xu; Yuchen Hou; Cristopher Niell; Michael Beyeler (NeurIPS, 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)

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., 2023)

Predicting the Temporal Dynamics of Prosthetic Vision. - Yuchen Hou; Laya Pullela; Jiaxin Su; Sriya Aluru; Shivani Sista; Xiankun Lu; Michael Beyeler (EMBC, 2024)

VisionAI - Shopping Assistance for People with Vision Impairments. - Anika Arora; Lucas Nadolskis; Michael Beyeler; Misha Sra (ISMAR-Adjunct, 2024)

Eye Tracking Performance in Mobile Mixed Reality. - Satyam Awasthi; Vivian Ross; Sydney Lim; Michael Beyeler; Tobias Höllerer (VR Workshops, 2024)

Single Spike Artificial Neural Networks. - Rhys Gretsch; Michael Beyeler; Jeremy Lau; Timothy Sherwood (ISCA, 2025)

Simulated prosthetic vision identifies checkerboard as an effective raster pattern for retinal implants. - Justin Kasowski; Michael Beyeler (CoRR, 2025)

Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants. - Eirini Schoinas; Adyah Rastogi; Anissa Carter; Jacob Granley; Michael Beyeler (CoRR, 2025)

Beyond Physical Reach: Comparing Head- and Cane-Mounted Cameras for Last-Mile Navigation by Blind Users. - Apurv Varshney; Lucas Nadolskis; Tobias Höllerer; Michael Beyeler (CoRR, 2025)

BIRD: Behavior Induction via Representation-structure Distillation. - Galen Pogoncheff; Michael Beyeler (CoRR, 2025)

Static or Temporal? Semantic Scene Simplification to Aid Wayfinding in Immersive Simulations of Bionic Vision. - Justin Kasowski; Apurv Varshney; Michael Beyeler (CoRR, 2025)

Bionic Vision as Neuroadaptive XR: Closed-Loop Perceptual Interfaces for Neurotechnology. - Michael Beyeler (CoRR, 2025)