ArticlePloS one2017
Electrosensory neural responses to natural electro-communication stimuli are distributed along a continuum.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Descending pathways increase sensory neural response heterogeneity to facilitate decoding and behavior.iScience · 2023Article
- Neural network organization for courtship-song feature detection in Drosophila.Current biology : CB · 2022Article
- Synergistic population coding of natural communication stimuli by hindbrain electrosensory neurons.Scientific reports · 2021Article
- Descending pathways generate perception of and neural responses to weak sensory input.PLoS biology · 2018Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Neural heterogeneities are seen ubiquitously within the brain and greatly complicate classification efforts. Here we tested whether the responses of an anatomically well-characterized sensory neuron population to natural stimuli could be used for functional classification. To do so, we recorded from pyramidal cells within the electrosensory lateral line lobe (ELL) of the weakly electric fish Apteronotus leptorhynchus in response to natural electro-communication stimuli as these cells can be anatomically classified into six different types. We then used two independent methodologies to functionally classify responses: one relies of reducing the dimensionality of a feature space while the other directly compares the responses themselves. Both methodologies gave rise to qualitatively similar results: while ON and OFF-type cells could easily be distinguished from one another, ELL pyramidal neuron responses are actually distributed along a continuum rather than forming distinct clusters due to heterogeneities. We discuss the implications of our results for neural coding and highlight some potential advantages.
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