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Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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Automatic Tuning of a Retina Model for a Cortical Visual Neuroprosthesis Using a Multi-Objective Optimization Genetic
Antonio Martínez-Álvarez1, Rubén Crespo-Cano1, Ariadna Díaz-Tahoces2
11 Department of Computer Technology, University of Alicante, Carretera San Vicente s/n, Alicante 03690, Spain.
International Journal of Neural Systems
|June 30, 2016
Summary
This study introduces an automated method using the NSGA-II algorithm to tune artificial retina models. This approach optimizes synthetic retinal outputs to closely match real recordings, aiding visual prosthesis development.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Biomedical Engineering
Background:
- The retina's complex neural structure processes visual information.
- Accurate visual information encoding is crucial for neuroscience and visual prostheses.
- Artificial retina systems require functional similarity to biological retinas.
Purpose of the Study:
- To propose an automated strategy for tuning artificial retina models.
- To enhance the functional similarity between synthetic and biological retinas.
- To facilitate the design of customized neuro prostheses.
Main Methods:
- An automatic evolutionary multi-objective strategy based on the NSGA-II algorithm was employed.
- Four metrics were used to guide the algorithm in parameter tuning.
- The algorithm searched for parameters that best approximate synthetic retinal model output with real electrophysiological recordings.
Main Results:
- The proposed strategy effectively tunes retina models.
- The procedure demonstrated high flexibility in considering different trade-offs.
- Optimized parameters allow synthetic models to closely mimic real electrophysiological recordings.
Conclusions:
- The automated tuning strategy is effective for retina models.
- This method supports the development of customized neuro prostheses.
- The approach advances the field of artificial retina systems and visual prostheses.
