Coding accuracy is not fully determined by the neuronal model
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
25710092
DOI
10.1162/neco_a_00724
Knihovny.cz E-resources
- MeSH
- Acoustic Stimulation methods MeSH
- Algorithms * MeSH
- Humans MeSH
- Models, Neurological * MeSH
- Nerve Fibers physiology MeSH
- Neural Conduction physiology MeSH
- Cochlear Nerve physiology MeSH
- Computer Simulation statistics & numerical data MeSH
- Stochastic Processes MeSH
- Loudness Perception physiology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
It is automatically assumed that the accuracy with which a stimulus can be decoded is entirely determined by the properties of the neuronal system. We challenge this perspective by showing that the identification of pure tone intensities in an auditory nerve fiber depends on both the stochastic response model and the arbitrarily chosen stimulus units. We expose an apparently paradoxical situation in which it is impossible to decide whether loud or quiet tones are encoded more precisely. Our conclusion reaches beyond the topic of auditory neuroscience, however, as we show that the choice of stimulus scale is an integral part of the neural coding problem and not just a matter of convenience.
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