Learning of active binocular vision in a biomechanical model of the oculomotor system
- We present a model for the autonomous learning of active binocular vision using a recently developed biome-chanical model of the human oculomotor system. The model is formulated in the Active Efficient Coding (AEC) framework, a recent generalization of classic efficient coding theories to active perception. The model simultaneously learns how to efficiently encode binocular images and how to generate accurate vergence eye movements that facilitate efficient encoding of the visual input. In order to resolve the redundancy problem arising from the actuation of the eyes through antagonistic muscle pairs, we consider the metabolic costs associated with eye movements. We show that the model successfully learns to trade off vergence accuracy against the associated metabolic costs, producing high fidelity vergence eye movements obeying Sherrington’s law of reciprocal innervation.
| Author: | Lukas KlimmaschORCiD, Alexander LelaisORCiD, Alexander Lichtenstein, Bertram E. ShiORCiD, Jochen TrieschORCiD |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-724342 |
| DOI: | https://doi.org/10.1101/160721 |
| Parent Title (English): | bioRxiv |
| Document Type: | Preprint |
| Language: | English |
| Date of Publication (online): | 2017/07/07 |
| Date of first Publication: | 2017/07/07 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2023/09/04 |
| Issue: | 160721 |
| Page Number: | 6 |
| HeBIS-PPN: | 511533179 |
| Institutes: | Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS) |
| Dewey Decimal Classification: | 1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie |
| 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit | |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Creative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International |
