Sign in

Bionic Vision Lab

@bionicvisionlab.org
510 followers 236 following 152 posts

👁️🧠🖥️🧪🤖 What would the world look like with a bionic eye? Interdisciplinary research group at UC Santa Barbara. PI: @mbeyeler.bsky.social‬ #BionicVision #Blindness #NeuroTech #VisionScience #CompNeuro #NeuroAI

PostsRepliesMedia
Bionic Vision Lab @bionicvisionlab.org · 27/08/2026
Exciting news from the lab: Emily Joyce has been named an inaugural UC Noyce Graduate Student Fellow, 1 of just 5 selected across the UC system. Her project asks a deceptively hard question: retinal implants can produce color, but can we predict and control it? ucnoyce.org/news/uc-noyc...
ucnoyce.org
UC Noyce Initiative Names Inaugural Class of Graduate Student Fellows
Five exceptional graduate students from across the University of California have been named the inaugural UC Noyce Graduate Student Fellows, launching a new program designed to support the next…
010
Reposted by Bionic Vision Lab
UCSB Computer Science Department @ucsb-cs.bsky.social · 10/08/2026
A new study in Neuron, co-first authored by @jacobgranley.bsky.social from @bionicvisionlab.org, with @ethz.ch and @umh.es, is using AI to design smarter, more accurate stimulation for blind patients. www.cs.ucsb.edu/happenings/a... @ucsantabarbara.bsky.social #ComputerScience #Neurotech
032
Bionic Vision Lab @bionicvisionlab.org · 09/08/2026
#UCSB news release: Deep learning refines how bionic eyes communicate with the brain news.ucsb.edu/2026/022739/...
news.ucsb.edu
Deep learning refines how bionic eyes communicate with the brain
UCSB associate professor of computer science Michael Beyeler and his colleagues used a deep-learning model to design patterns of electrical stimulation for electrodes temporarily implanted in the visu...
000
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
Huge thanks to Pehuén Moure, @jacobgranley.bsky.social, Fabrizio Grani, Leili Soo, @lozaneuro.bsky.social, Shih-Chii Liu, Eduardo Fernández, and #NIH. Above all, thank you to the blind volunteer who made this work possible!
010
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
Finally, the neural response mattered for perception. Recorded population activity predicted whether a phosphene was seen, and its brightness and color, substantially better than stimulation parameters alone. The emerging picture: stimulation → neural response → perception #BCI #Neuroscience
Phosphene detection, brightness, and color decoding: Bar plots compare how well different inputs predict the participant’s perceptual reports. Neural-response features improve prediction over stimulation parameters alone, with the strongest performance generally obtained when stimulation and neural activity are combined.
110
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
But not every neural response is equally achievable... Evoked activity occupied a low-dimensional neural manifold. Targets farther from that manifold were much harder to reproduce (r = 0.85). The optimized methods also achieved their targets using lower stimulation currents.
Current amplitude and neural-manifold constraint: Violin and scatter plots compare stimulation methods and target responses. Deep-learning approaches use lower mean currents, while synthetic targets lie farther from the natural neural-response manifold. Reconstruction error increases strongly with distance from that manifold (r = 0.85).
110
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
Prediction is useful. Control is the harder problem. Given a desired neural response, we used either gradient optimization or an inverse neural network to find a stimulation pattern predicted to produce it, then tested those patterns in vivo. Both beat conventional approaches.
In-vivo neural activity shaping: Example target response compared with stimulation patterns and recorded cortical responses produced by linear, dictionary, 1-to-1, inverse neural network, gradient-optimization, and replay methods. Bar plots below show that the inverse neural network and especially gradient optimization reproduce the target response more accurately than conventional baselines.
100
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
So we trained a deep forward model to predict the population response to multielectrode stimulation. On held-out days, it outperformed 1-to-1, linear, nonlinear, and dictionary-based models across multiple measures of prediction accuracy.
Predicted versus recorded neural responses: Five examples show multielectrode stimulation patterns, the neural responses predicted by the deep forward model, and the corresponding responses recorded in vivo. Across examples, the predicted spatial patterns closely resemble the measured cortical responses.Forward-model performance: Three bar plots compare models for predicting stimulation-evoked neural activity using mean squared error, R², and Earth mover’s distance. The deep forward neural network performs best across all three measures and significantly outperforms the tested baseline models.
110
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
First problem: the same electrical stimulation does not always produce the same neural response. Responses were much more variable across days than within a day, motivating a model that accounts for the brain’s ongoing state rather than treating stimulation as a fixed input-output mapping.
Same electrical stimulation pattern delivered across three days produces noticeably different cortical activity. Heatmaps show pre-stimulation activity and two example evoked responses for each day across the electrode array. The plot at right quantifies this effect: neural responses vary significantly more across days than within the same day.
100
Bionic Vision Lab @bionicvisionlab.org · 08/08/2026
New in Neuron 👁️🧠🧪: Can AI help a cortical visual prosthesis control what the brain actually does after electrical stimulation? We used a bidirectional implant to model and shape stimulation-evoked activity in human visual cortex. doi.org/10.1016/j.ne... #UCSB #AI #BionicVision #Neurotechnology
Schematic comparing three methods for producing a target neural response with a cortical electrode array: direct 1-to-1 mapping, a learned inverse model, and gradient-based optimization. Each method generates a stimulation pattern that is passed through either a simulated forward model or tested in vivo. Resulting neural responses are shown as electrode-array heatmaps, illustrating how closely each approach reproduces the target pattern.
2205
Bionic Vision Lab @bionicvisionlab.org · 27/07/2026
#IEEE #EMBC 2026: We.1.7.5: SYMBOLSIGHT: MINIMIZING INTER-SYMBOL INTERFERENCE FOR READING WITH PROSTHETIC VISION bionicvisionlab.org/publications... Wednesday, 29 July, 08:30 - 10:00 Room 714A
bionicvisionlab.org
SymbolSight: Minimizing inter-symbol interference for reading with prosthetic vision | Bionic Vision Lab
We present SymbolSight, a computational framework that selects symbol-to-letter mappings to minimize confusion among frequently adjacent letters. Using simulated prosthetic vision (SPV) and a neural p...
010
Bionic Vision Lab @bionicvisionlab.org · 27/07/2026
At #IEEE #EMBC 2026? Come check out our presentations: Tu.1.8.2: NETWORK-ADAPTIVE CLOUD PROCESSING FOR VISUAL NEUROPROSTHESES bionicvisionlab.org/publications... Tuesday, 28 July, 08:30 - 10:00 Room 718A
bionicvisionlab.org
Network-adaptive cloud preprocessing for visual neuroprostheses | Bionic Vision Lab
We present a network-adaptive pipeline for cloud-assisted visual preprocessing of artificial vision, where real-time round-trip-time (RTT) feedback is used to dynamically modulate image resolution, co...
111
Bionic Vision Lab @bionicvisionlab.org · 24/07/2026
Congratulations to Bionic Vision Lab postdoc @mariusschneider.bsky.social on receiving the 2026–27 UCSB Zaleski Discovery Award! His project explores event-based, neuromorphic safety technology for blind and low-vision travelers.
engineering.ucsb.edu
A Smarter Way to See Danger | The Robert Mehrabian College of Engineering - UC Santa Barbara
.
010
Reposted by Bionic Vision Lab
bionic-vision.org @bionic-vision.org · 22/07/2026
@science.xyz has announced the European commercial launch of PRIMA, following CE marking under the EU Medical Device Regulation. 👁️🧠🧪 This marks a significant milestone for the bionic vision field after years of clinical development. science.xyz/news/ce-mark/ #BionicVision #NeuroTech #BCI
science.xyz
Science Corp. Announces European Commercial Launch of PRIMA, the Only Treatment to Restore Functional Central Vision to Patients with Geographic Atrophy Caused by Age-Related Macular Degeneration, a L...
Science Corporation is a clinical-stage medical technology company.
121
Bionic Vision Lab @bionicvisionlab.org · 23/05/2026
What might #BionicVision actually look like? 👁️🧪 At the #SantaBarbara County Science Fair, high school students found out firsthand with our BionicVisionXR open-source VR simulator, built to study what how bionic eyes might restore real-world function. science.ucsb.edu/news/county-... #UCSB #STEM
science.ucsb.edu
At county science fair, UC Santa Barbara mentors help young researchers see what’s possible | Division of Mathematical, Life and Physical Sciences
Local middle and high school students explored microscopy, virtual reality and bionic vision research through hands-on lab experiences with campus scientists.
010
Bionic Vision Lab @bionicvisionlab.org · 05/05/2026
At #ARVO2026? Come find Poster #0523 • 10:15am - 12:00pm MT • May 6th We asked 100+ legally #blind adults: What shapes your attitude toward #BionicVision? • usefulness helped • barriers hurt • ease of use mattered, but less • age & vision level were not predictive eppro02.ativ.me/web/page.php...
Flyer advertising the poster. Text says: Catrina Coe. Behavioral Determinants of Bionic Vision Adoption in a U.S.-Based Cohort of Blind Adults Poster #0523 • 10:15am - 12:00pm MT • May 6th
030
Bionic Vision Lab @bionicvisionlab.org · 03/05/2026
At #ARVO2026? Come find Poster #0978 • 8:30 - 10:15am MT • May 5th Argus II timing breaks sighted flicker-fusion assumptions: • temporal effect: fragmented percepts at 0 ms, cleaner 1-vs-2 percepts at 4+ ms • spatial effect: axon-map distance predicts separability eppro02.ativ.me/web/page.php...
Flyer advertising the two poster. Text says:  Lily Turkstra. Perceptual Integration Window in Argus II: Millisecond Timing and Axon-Bundle Geometry Determine Two-Point Perception. Poster #0978 • 8:30am - 10:15am MT • May 5th.
2. Catrina Coe. Behavioral Determinants of Bionic Vision Adoption in a U.S.-Based Cohort of Blind Adults Poster #0523 • 10:15am - 12:00pm MT • May 6th
001
Bionic Vision Lab @bionicvisionlab.org · 01/05/2026
Two #BionicVision studies 👁️🧠 from our lab at #ARVO2026: 1. Argus II timing breaks sighted flicker-fusion assumptions: May 5, 8:30–10:15 AM 2. What shapes blind adults’ attitudes toward vision-restoration technology: May 6, 10:15 AM–12:00 PM Come find us in Denver!
Flyer advertising the two accepted posters. Text says: UC SANTA BARBARA
BIONIC VISION LAB @ ARVO 2026. Followed by
1. Lily Turkstra. Perceptual Integration Window in Argus II: Millisecond Timing and Axon-Bundle Geometry Determine Two-Point Perception. Poster #0978 • 8:30am - 10:15am MT • May 5th.
2. Catrina Coe. Behavioral Determinants of Bionic Vision Adoption in a U.S.-Based Cohort of Blind Adults Poster #0523 • 10:15am - 12:00pm MT • May 6th
153
Reposted by Bionic Vision Lab
bionic-vision.org @bionic-vision.org · 30/04/2026
April 30 marks 100 years of Giles S. Brindley FRS. Pioneer of cortical implants & #BionicVision. 🧠⚡ Architect of modern erectile dysfunction therapy. Gave the most notorious live demo in scientific history. A century of impact. www.bionic-vision.org/people/giles... #Neuroscience #NeuroTech
bionic-vision.org
bionic-vision.org | People | Giles S. Brindley, MDFRS
Giles Skey Brindley FRS (b. 1926) is a British physiologist whose audacious experiments and engineering brilliance helped launch modern visual prosthetics, neuro-urology, and the science of color…
031
Bionic Vision Lab @bionicvisionlab.org · 18/04/2026
Jiayi Liu and Yilin Wang asked: if future prosthetic vision systems use #cloud-based #AI, can they remain usable when latency, jitter, and bandwidth fluctuate? This paper studies real-time adaptation under network constraints. bionicvisionlab.org/publications... #EMBC2026 #BionicVision
bionicvisionlab.org
Network-adaptive cloud preprocessing for visual neuroprostheses | Bionic Vision Lab
We present a network-adaptive pipeline for cloud-assisted visual preprocessing of artificial vision, where real-time round-trip-time (RTT) feedback is used to dynamically modulate image resolution, co...
000
Bionic Vision Lab @bionicvisionlab.org · 18/04/2026
Jasmine Lesner asked: in a future implant that supports reading, can we redesign the symbols themselves to make them easier to tell apart through a highly constrained visual channel? SymbolSight optimizes the symbol set, not the HW. bionicvisionlab.org/publications... #EMBC2026 #BionicVision
bionicvisionlab.org
SymbolSight: Minimizing inter-symbol interference for reading with prosthetic vision | Bionic Vision Lab
We present SymbolSight, a computational framework that selects symbol-to-letter mappings to minimize confusion among frequently adjacent letters. Using simulated prosthetic vision (SPV) and a neural p...
100
Bionic Vision Lab @bionicvisionlab.org · 18/04/2026
Excited to share that two papers from the lab were accepted to #IEEE #EMBC2026 (@embs.org)! 🎉 1. Better symbol design for reading with (future) prosthetic vision 2. Cloud-adaptive preprocessing for visual neuroprostheses under real-world network constraints #BionicVision #NeuroTech
232
Reposted by Bionic Vision Lab
Michael Beyeler @mbeyeler.bsky.social · 11/03/2026
En route to #Cosyne2026! 🧠🧪🇵🇹 @bionicvisionlab.org is represented with 2 projects: - control of electrically evoked activity in human V1 - predictive model of mouse V1 recovers cell- and state-dependent tuning Check out our posters on Thursday! #CompNeuroSky #NeuroSkyence
[1-213] Control of electrically evoked neural activity in human visual cortex using deep learning. Thursday, March 12, 20:30 - 23:30[1-132] Predictive models trained on natural behavior recover cell- and state-dependent tuning in mouse V1. Thursday, March 12, 20:30 - 23:30
0163
Reposted by Bionic Vision Lab
bionic-vision.org @bionic-vision.org · 10/03/2026
ReVision Implant receives FDA breakthrough device designation for its Occular visual cortical prosthesis www.massdevice.com/revision-imp... #BionicVision #BCI #NeuroTech
massdevice.com
ReVision Implant wins FDA breakthrough nod for vision-restoring BCI
ReVision Implant announced today that it received FDA breakthrough device designation for its Occular visual cortical prosthesis.
021
Bionic Vision Lab @bionicvisionlab.org · 05/03/2026
This work was a collaboration with Mara Downing, Matthew Peng, and Tevfik Bultan from the UCSB Verification Lab, together with @jacobgranley.bsky.social from the Bionic Vision Lab. Read the full paper here: iopscience.iop.org/article/10.1... @ucsb-cs.bsky.social
iopscience.iop.org
Fuzzing the brain: automated stress testing for the safety of ML-driven neurostimulation
Fuzzing the brain: automated stress testing for the safety of ML-driven neurostimulation, Downing, Mara, Peng, Matthew, Granley, Jacob, Beyeler, Michael, Bultan, Tevfik
010
Bionic Vision Lab @bionicvisionlab.org · 05/03/2026
Our approach borrows an idea from software verification: coverage-guided fuzzing. We systematically mutate inputs and search for stimulation patterns that violate biophysical constraints - uncovering diverse safety violations that conventional testing misses. #Neurotech #MLResearch #AIVerification
Bar plot comparing fuzzing strategies. y-axis: combined violation and diversity score. Each bar represents an average of normalized violations and normalized diversity score, equally weighted.
Our metrics are shown in green, with our two best VO-KMVP and VO-KMOC highlighted in dark green. Neuron coverage metrics are shown in purple, and basic metrics in red. Conventional testing (model test set with no mutations) is shown in blue. Our methods reach scores above 0.8, whereas conventional testing sits at 0.1
100
Bionic Vision Lab @bionicvisionlab.org · 05/03/2026
Most prior work treats safety narrowly, often by minimizing charge. But unsafe stimulation can take many forms: • physically impossible pulses • unsafe instantaneous currents • activating too many electrodes These are model outputs, so they need to be tested like software systems. #AISafety
100
Bionic Vision Lab @bionicvisionlab.org · 05/03/2026
🚨Fuzzing the brain - automated stress testing for ML-driven neurostimulation🚨 As #MachineLearning begins to control electrical stimulation in neural interfaces, how do we know these models are safe? Paper in Journal of Neural Engineering: bionicvisionlab.org/publications... #BCI #neuroskyence
bionicvisionlab.org
Fuzzing the brain: Automated stress testing for the safety of ML-driven neurostimulation | Bionic Vision Lab
We propose a systematic, quantitative approach to detect and characterize unsafe stimulation patterns in ML-driven neurostimulation systems.
182
Reposted by Bionic Vision Lab
Michael Beyeler @mbeyeler.bsky.social · 08/02/2026
What if your strongest #ML model is brittle at one thing that really matters? Can it learn that behavior from a weaker but specialist model, even when they share no task, no data, and no architecture? My student Galen Pogoncheff explored this in our #ICLR2026 paper: 👉 arxiv.org/abs/2505.23933
arxiv.org
BIRD: Behavior Induction via Representation-structure Distillation
Human-aligned deep learning models exhibit behaviors consistent with human values, such as robustness, fairness, and honesty. Transferring these behavioral properties to models trained on different ta...
141
Reposted by Bionic Vision Lab
TK (Takashi DY) Kozai @bioniclab.bsky.social · 15/01/2026
Just out in @nature.com BME: Our Review unpacks intracortical microstimulation: axons, not somas, drive activation; direct + indirect pathways shape perception; parameters interact with neuron type, layer, and network; long-term use limited by neural depression & tissue response. 🧠⚡ rdcu.be/eZbTz
rdcu.be
Neural mechanisms underlying intracortical microstimulation for sensory restoration
Nature Biomedical Engineering - Intracortical microstimulation can elicit artificial sensations in persons who have lost sensation due to neurological injury or disease. This Review discusses...
1192
Reposted by Bionic Vision Lab
Michael Beyeler @mbeyeler.bsky.social · 26/11/2025
🎉 Mouse vs AI #NeurIPS2025 Challenge 2025 The first year was a great success: 🤖 290 submissions 👥 22 teams 🌎 7 countries robustforaging.github.io A huge thank you to all who participated!👏 This was our first attempt at a global competition built around real mouse behavior and visual robustness
robustforaging.github.io
Robust Foraging Competition
Can your AI visually navigate better than a mouse?
195
Reposted by Bionic Vision Lab
Antonio Lozano @lozaneuro.bsky.social · 19/11/2025
Presenting “Human in the loop optimisation for efficient intracortical microstimulation temporal patterns in visual cortex” again this afternoon at #SfN!! Come discuss! An amazing collaboration between the Biomedical Neuroengineering group at UMH and @bionicvisionlab.org
053
Bionic Vision Lab @bionicvisionlab.org · 16/11/2025
Our final poster at #SfN2025 explores human-in-the-loop optimization for intracortical microstimulation, presented by @lozaneuro.bsky.social, in collaboration with @umh.es: PSTR450.20 Nov 19 at 1:00 PM www.abstractsonline.com/pp8/#!/21171... #SfN25 #VisionScience #NeuroTechnology
Schematic labeled human-in-the-loop optimization (HILO). It shows two stimuli on the left: pulse trains with varying stimulus amplitude over time. A participant has to choose which stimulus appears brighter. This feedback is used to inform a Gaussian process model that chooses the next stimulus pair, with the goal of finding the stimulus with the lowest overall charge to elicit perception
151
Bionic Vision Lab @bionicvisionlab.org · 16/11/2025
Lily Turkstra is presenting new findings on stimulus-selective spiking activity recorded during a working memory experiment in a unique intracortical dataset. PSTR341.13 Nov 18 at 1:00 PM www.abstractsonline.com/pp8/#!/21171... #SfN25 #VisionScience #Neuroscience
left: experimental setup showing an implantee with an introcortical prosthesis and example phosphenes described as a large filled circle, a half-moon, and a tiny dot.
right: schematic showing cross-temporal decoding of delay period activity. Over 406 trials, working memory content could be decoded during the delay period in 88.5% of delay period windows.
110
Bionic Vision Lab @bionicvisionlab.org · 16/11/2025
Our second poster at #SfN2025 dives into biologically plausible networks for efficient image encoding, presented by Hasith Basnayake: PSTR154.08 Nov 17 at 8:00 AM www.abstractsonline.com/pp8/#!/21171... #SfN25 #VisionScience #NeuroTechnology
Table showing different network diagrams under test, trained either on MNIST or Fashion-MNIST, with either soft or hard winner-take-all (WTA) wiring. Synaptic weights showed either holistic or parts-based representations of images
100
Bionic Vision Lab @bionicvisionlab.org · 16/11/2025
If you are into #VisionScience or #neuroengineering, come check out our first poster at #SfN2025 this afternoon! Emily Joyce is presenting new work on modeling the bipolar circuitry in the human fovea PSTR122.22 Nov 16 at 1:00 PM www.abstractsonline.com/pp8/#!/21171...
Simulated responses of a bipolar cell mosaic to simulated electrical stimulation and the corresponding decoded phosphenes. Small phosphenes appear focal and colored, whereas larger phosphenes most often appear with a white-ish, yellow-ish tint.
142
Reposted by Bionic Vision Lab
bionic-vision.org @bionic-vision.org · 30/10/2025
What if retinal prostheses could speak the brain’s language? 👁️🧠🧪 Prof. Yossi Mandel and team built a hybrid implant that merges neurons and electrodes to restore high-acuity sight. New Data Drop interview ↓ www.bionic-vision.org/research-spo... #BionicVision #Neurotech #Blindness
bionic-vision.org
bionic-vision.org | Research Spotlights | Yossi Mandel
In a new Advanced Functional Materials paper, Prof. Yossi Mandel and colleagues unveiled a hybrid retinal prosthesis that fuses living neurons with a high-density electrode array. By nestling human st...
042
Reposted by Bionic Vision Lab
bionic-vision.org @bionic-vision.org · 22/10/2025
Can Fruit Ninja train the #BionicEye? A new JoV paper finds that while participants improved with distorted “prosthetic” input, gaming-based training didn’t generalize to object recognition - hinting that rehab may need to stay task-specific. doi.org/10.1167/jov....
011
Reposted by Bionic Vision Lab
bionic-vision.org @bionic-vision.org · 21/10/2025
🚨 Breakthrough alert: A new study in the NEJM reports that the PRIMA subretinal implant helped restore meaningful central vision in ~80% of participants with advanced geographic atrophy (an untreatable form of #AMD). www.nejm.org/doi/10.1056/... #BionicVision #NeuroTech
nejm.org
Subretinal Photovoltaic Implant to Restore Vision in Geographic Atrophy Due to AMD | NEJM
Geographic atrophy due to age-related macular degeneration (AMD) is the leading cause of irreversible blindness and affects more than 5 million persons worldwide. No therapies to restore vision in ...
131
Reposted by Bionic Vision Lab
Michael Beyeler @mbeyeler.bsky.social · 27/09/2025
👁️🧠 New preprint: We demonstrate the first data-driven neural control framework for a visual cortical implant in a blind human! TL;DR Deep learning lets us synthesize efficient stimulation patterns that reliably evoke percepts, outperforming conventional calibration. www.biorxiv.org/content/10.1...
Diagram showing three ways to control brain activity with a visual prosthesis. The goal is to match a desired pattern of brain responses. One method uses a simple one-to-one mapping, another uses an inverse neural network, and a third uses gradient optimization. Each method produces a stimulation pattern, which is tested in both computer simulations and in the brain of a blind participant with an implant. The figure shows that the neural network and gradient methods reproduce the target brain activity more accurately than the simple mapping.
29225
Bionic Vision Lab @bionicvisionlab.org · 17/09/2025
As federal research funding faces steep cuts, UC scientists are pushing brain-computer interfaces forward: restoring speech after ALS, easing Parkinson’s symptoms, and improving bionic vision with AI (that’s us 👋 at @ucsantabarbara.bsky.social). 🧠 www.universityofcalifornia.edu/news/thrilli...
universityofcalifornia.edu
Thrilling progress in brain-computer interfaces from UC labs
UC researchers and the patients they work with are showing the world what's possible when the human mind and advanced computers meet.
042
Reposted by Bionic Vision Lab
Michael Beyeler @mbeyeler.bsky.social · 02/08/2025
Excited to share that I’ve been promoted to Associate Professor with tenure at UCSB! Grateful to my mentors, students, and funders who shaped this journey and to @ucsantabarbara.bsky.social for giving the Bionic Vision Lab a home! Full post: www.linkedin.com/posts/michae...
Epic collage of Bionic Vision Lab activities. From top to bottom, left to right:
A) Up-to-date group picture
B) BVL at Dr. Beyeler's Plous Award celebration (2025)
C) BVL at The Eye & The Chip (2023)
D/F) Dr. Aiwen Xu and Justin Kasowski getting hooded at the UCSB commencement ceremony
E) BVL logo cake created by Tori LeVier
G) Dr. Beyeler with symposium speakers at Optica FVM (2023)
H, I, M, N) Students presenting conference posters/talks
J) Participant scanning a food item (ominous pizza study)
K) Galen Pogoncheff in VR
L) Argus II user drawing a phosphene
O) Prof. Beyeler demoing BionicVisionXR
P) First lab hike (ca. 2021)
Q) Statue for winner of the Mac'n'Cheese competition (ca. 2022)
R) BVL at Club Vision
S) Students drifting off into the sunset on a floating couch after a hard day's work
1265
Reposted by Bionic Vision Lab
Michael Beyeler @mbeyeler.bsky.social · 16/07/2025
At #EMBC2025? Come check out two talks from my lab in tomorrow’s Sensory Neuroprostheses session! 🗓️ Thurs July 17 · 8-10AM · Room B3 M3-4 🧠 Efficient threshold estimation 🧑🔬 Deep human-in-the-loop optimization 🔗 embc.embs.org/2025/program/ #BionicVision #NeuroTech #IEEE #EMBS
embc.embs.org
Program – EMBC 2025
Loading...
031
Bionic Vision Lab @bionicvisionlab.org · 13/07/2025
🧠 Building on Roksana Sadeghi’s work: Calibrating retinal implants is slow and tedious. Can Gaussian Process Regression (GPR) guide smarter sampling? ✅ GPR + spatial sampling = fewer trials, same accuracy 🔁 Toward faster, personalized calibration 🔗 bionicvisionlab.org/publications... #EMBC2025
bionicvisionlab.org
Efficient spatial estimation of perceptual thresholds for retinal implants via Gaussian process regression | Bionic Vision Lab
We propose a Gaussian Process Regression (GPR) framework to predict perceptual thresholds at unsampled locations while leveraging uncertainty estimates to guide adaptive sampling.
020
Bionic Vision Lab @bionicvisionlab.org · 13/07/2025
🎓 Proud of our undergrad(!) Eirini Schoinas for leading this: bionicvisionlab.org/publications... 🧠 Human-in-the-loop optimization (HILO) works in silico—but does it hold up with real people? ✅ HILO outperformed naïve and deep encoders 🔁 A step toward personalized #BionicVision #EMBC2025
bionicvisionlab.org
Evaluating deep human-in-the-loop optimization for retinal implants using sighted participants | Bionic Vision Lab
We evaluate HILO using sighted participants viewing simulated prosthetic vision to assess its ability to optimize stimulation strategies under realistic conditions.
110
Bionic Vision Lab @bionicvisionlab.org · 13/07/2025
👁️⚡ Headed to #EMBC2025? Catch two of our lab’s talks on optimizing retinal implants! 📍 Sensory Neuroprostheses 🗓️ Thurs July 17 · 8-10AM · Room B3 M3-4 🧠 Efficient threshold estimation 🧑🔬 Deep human-in-the-loop optimization 🔗 embc.embs.org/2025/program/ #BionicVision #NeuroTech #IEEE #EMBS #Retina
embc.embs.org
Program – EMBC 2025
Loading...
112
Bionic Vision Lab @bionicvisionlab.org · 09/07/2025
This matters. Checkerboard rastering: ✔️ works across tasks ✔️ requires no fancy calibration ✔️ is hardware-agnostic A low-cost, high-impact tweak that could make future visual prostheses more usable and more intuitive. #BionicVision #BCI #NeuroTech
010
Bionic Vision Lab @bionicvisionlab.org · 09/07/2025
✅ Checkerboard consistently outperformed the other patterns—higher accuracy, lower difficulty, fewer motion artifacts. 💡 Why? More spatial separation between activations = less perceptual interference. It even matched performance of the ideal “no raster” condition, without breaking safety rules.
Boxplots showing task accuracy for two experimental tasks—Letter Recognition and Motion Discrimination—grouped by five raster patterns: No Raster (blue), Checkerboard (orange), Vertical (green), Horizontal (brown), and Random (pink). Each colored boxplot shows the median, interquartile range, and individual participant data points.

In both tasks, Checkerboard and No Raster yield the highest median accuracy.

Horizontal and Random patterns perform the worst, with more variability and lower scores.

Significant pairwise differences (p < .05) are indicated by horizontal bars above the plots, showing that Checkerboard significantly outperforms Random and Horizontal in both tasks.

A dashed line at 0.125 marks chance-level performance (1 out of 8).

These results suggest Checkerboard rastering improves perceptual performance compared to conventional or unstructured patterns.
110
Bionic Vision Lab @bionicvisionlab.org · 09/07/2025
We ran a simulated prosthetic vision study in immersive VR using gaze-contingent, psychophysically grounded models of epiretinal implants. 🧪 Powered by BionicVisionXR. 📐 Modeled 100-electrode Argus-like array. 👀 Realistic phosphene appearance, eye/head tracking.
Diagram showing the four-step pipeline for simulating prosthetic vision in VR.
Step 1: A virtual camera captures the user’s view, guided by eye gaze. The image is converted to grayscale and blurred for preprocessing.
Step 2: The preprocessed image is mapped onto a simulated retinal implant with 100 electrodes. Electrodes are activated based on local image intensity and grouped into raster groups. Raster Group 1 is highlighted.
Step 3: Simulated perception is shown with and without rastering. Without rastering (top), all electrodes are active, producing a more complete but unrealistic percept. With rastering (bottom), only 20 electrodes are active per frame, resulting in a temporally fragmented percept. Phosphene shape depends on parameters for spatial spread (ρ) and elongation (λ).
Step 4: The rendered percept is updated with temporal effects and presented through a virtual reality headset.
100
Bionic Vision Lab @bionicvisionlab.org · 09/07/2025
Checkerboard rastering has been used in #BCI and #NeuroTech applications, often based on intuition. But is it actually better, or just tradition? No one had rigorously tested how these patterns impact perception in visual prostheses. So we did.
Raster pattern configurations used in the study, shown as 10×10 electrode grids labeled with numbers 1 through 5, representing five sequentially activated timing groups.

1. Horizontal: Each row of electrodes belongs to one group, with activation proceeding top to bottom.

2. Vertical: Each column is a group, activated left to right.

3. Checkerboard: Electrode groups are arranged to maximize spatial separation, forming a checkerboard-like layout.

4. Random: Group assignments are randomly distributed across the grid, with no spatial structure. This pattern was re-randomized every five frames to test unstructured activation.
Each group is represented with different shades of gray and labeled numerically to indicate activation order.
100