dorsal/arxiv
View SchemaPushing it to the Limit: Adaptation With Dynamically Switching Gain Control
| Authors | Matthias S. Keil |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0607013 |
| URL | https://arxiv.org/abs/q-bio/0607013 |
| DOI | 10.1155/2007/51684 |
Abstract
With this paper we propose a model to simulate the functional aspects of light adaptation in retinal photoreceptors. Our model, however, does not link specific stages to the detailed molecular processes which are thought to mediate adaptation in real photoreceptors. We rather model the photoreceptor as a self-adjusting integration device, which adds up properly amplified luminance signals. The integration process and the amplification obey a switching behavior that acts to locally shut down the integration process in dependence on the internal state of the receptor. The mathematical structure of our model is quite simple, and its computational complexity is quite low. We present results of computer simulations which demonstrate that our model adapts properly to at least four orders of input magnitude.
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"abstract": "With this paper we propose a model to simulate the functional aspects of\nlight adaptation in retinal photoreceptors. Our model, however, does not link\nspecific stages to the detailed molecular processes which are thought to\nmediate adaptation in real photoreceptors. We rather model the photoreceptor as\na self-adjusting integration device, which adds up properly amplified luminance\nsignals. The integration process and the amplification obey a switching\nbehavior that acts to locally shut down the integration process in dependence\non the internal state of the receptor. The mathematical structure of our model\nis quite simple, and its computational complexity is quite low. We present\nresults of computer simulations which demonstrate that our model adapts\nproperly to at least four orders of input magnitude.",
"arxiv_id": "q-bio/0607013",
"authors": [
"Matthias S. Keil"
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"q-bio.NC"
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"doi": "10.1155/2007/51684",
"title": "Pushing it to the Limit: Adaptation With Dynamically Switching Gain Control",
"url": "https://arxiv.org/abs/q-bio/0607013"
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