IFESS 2005 Special Session 5 Artifical Vision
Bibliographic record
Abstract
A special session on visual prostheses was held during the Annual Meeting of the International Functional Electrical Stimulation Society (IFESS), in Montreal, Canada, July 5-9, 2005. IFESS is a meeting that typically attracts researchers in implantable nerve stimulators, functional electrical stimulation, and rehabilitation. All of these areas have significant overlap with the retinal prosthesis, but these areas have decades of research behind them. The special session provided a forum for researchers with vast experience in nerve stimulation to interact with leading research in retinal and cortical visual prostheses. The grant paid for the travel and conference costs of the presenters in the session. The session was chaired by James Weiland (the PI on this grant). The session co-chair was Phil Troyk, Ph.D., from the Illinois Institute of Technology. The Department of Energy was acknowledged at the start of the session as the sponsor. The following talks were delivered: Clinical Trial of a Prototype Retinal Prosthesis James Weiland, Ph.D. Doheny Eye Institute, Los Angeles, California The U.S. Department of Energy's Artificial Sight Program Elias Greenbaum, Ph.D. Oak Ridge National Laboratory, Oak Ridge, Tennessee A 16-Channel stimulator ASIC for use in an intracortical visual prosthesis Phillip R. Troyk, Ph.D. Illinois Institute of Technology, Chicago, Illinois Two approaches to the Optic Nerve Visual Prosthesis Jean Delbeke, M.D. University Cath de Louvain, Louvain, Belgium Design and Implementation of High Power Efficiency Modules for a Cortical Visual Stimulator Mohammad Sawan, Ph.D. Ecole Polytechnique de Montreal, Montreal, Canada Remaining funds from the grant were used to support Dr. Weiland's travel to the Association for Research in Vision and Ophthalmology in May 2006, with DOE approval, where several projects, supported by the DOE artificial retina program, were presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".