Rather than pursuing a (degraded) imitation of natural sight, bionic vision might be better understood as a form of neuroadaptive XR: a perceptual interface that forgoes visual fidelity in favor of delivering sparse, personalized cues shaped (at its full potential) by user intent, behavioral context, and cognitive state.
Topic: Visual Perception
Researchers Interested in This Topic
CCS
Sahiti Doke
Research Assistant
PBS
Ethan Fook
Research Assistant
CS
Yuchen Hou
PhD Candidate
PHYS
Ryan Klopfenstein
Research Assistant
PBS
Adriano Lima
Lab Volunteer
PBS
Hannah Shea
Research Assistant
PBS
Hannah L. Stone
PhD Student
PBS
Nora Thomas
Honors Student
PBS
Lily M. Turkstra
PhD Candidate
Research Projects
Bionic vision as neuroadaptive XR: Closed-loop perceptual interfaces for neurotechnology
Michael Beyeler 2025 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
Deep learning-based control of electrically evoked activity in human visual cortex
We developed a data-driven neural control framework for a visual cortical prosthesis in a blind human, showing that deep learning can synthesize efficient, stable stimulation patterns that reliably evoke percepts and outperform conventional calibration methods.
Pehuén Moure, Jacob Granley, Fabrizio Grani, Leili Soo, Antonio Lozano, Rocio López-Peco, Adrián Villamarin-Ortiz, Cristina Soto-Sánchez, Shih-Chii Liu, Michael Beyeler, Eduardo Fernández bioRxiv
(Note: PM, JG, and FG are co-first authors. SL, MB, and EF are co-last authors.)
Simulating Visual Impairment
How are visual acuity and daily activities affected by visual impairment? Previous studies have shown that vision is altered and impaired in the presence of a scotoma, but the extent to which patient-specific factors affect vision and quality of life is not well understood.
