ArticleJournal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology2010
Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers.
Article in Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Computational themes of peripheral processing in the auditory pathway of insects.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Review
- Feature extraction and integration underlying perceptual decision making during courtship behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Influence of different envelope maskers on signal recognition and neuronal representation in the auditory system of a grasshopper.PloS one · 2012Article
- Efficient transformation of an auditory population code in a small sensory system.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
- Encoding of amplitude modulations by auditory neurons of the locust: influence of modulation frequency, rise time, and modulation depth.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2011Article
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Authors and funding
4 authors.
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Abstract
The temporal pattern of amplitude modulations (AM) is often used to recognize acoustic objects. To identify objects reliably, intensity invariant representations have to be formed. We approached this problem within the auditory pathway of grasshoppers. We presented AM patterns modulated at different time scales and intensities. Metric space analysis of neuronal responses allowed us to determine how well, how invariantly, and at which time scales AM frequency is encoded. We find that in some neurons spike-count cues contribute substantially (20-60%) to the decoding of AM frequency at a single intensity. However, such cues are not robust when intensity varies. The general intensity invariance of the system is poor. However, there exists a range of AM frequencies around 83 Hz where intensity invariance of local interneurons is relatively high. In this range, natural communication signals exhibit much variation between species, suggesting an important behavioral role for this frequency band. We hypothesize, just as has been proposed for human speech, that the communication signals might have evolved to match the processing properties of the receivers. This contrasts with optimal coding theory, which postulates that neuronal systems are adapted to the statistics of the relevant signals.
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