ArticleJournal of computational neuroscience2013
Computational principles underlying the recognition of acoustic signals in insects.
Article in Journal of computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Sexual selection and 'species recognition' revisited: serial processing and order-of-operations in mate choice.Proceedings. Biological sciences · 2022Article
- A small, computationally flexible network produces the phenotypic diversity of song recognition in crickets.eLife · 2021Article
- Article
- Shared Song Detector Neurons in Drosophila Male and Female Brains Drive Sex-Specific Behaviors.Current biology : CB · 2019Article
- Acoustic Pattern Recognition and Courtship Songs: Insights from Insects.Annual review of neuroscience · 2019Review
- Innate releasing mechanisms and fixed action patterns: basic ethological concepts as drivers for neuroethological studies on acoustic communication in Orthoptera.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019Review
- Song pattern recognition in crickets based on a delay-line and coincidence-detector mechanism.Proceedings. Biological sciences · 2017Article
- Multivariate female preference tests reveal latent perceptual biases.Proceedings. Biological sciences · 2016Article
- How females of chirping and trilling field crickets integrate the 'what' and 'where' of male acoustic signals during decision making.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2016Article
- Divergence in male cricket song and female preference functions in three allopatric sister species.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2016Article
- An auditory feature detection circuit for sound pattern recognition.Science advances · 2015Article
- Computational themes of peripheral processing in the auditory pathway of insects.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Review
- Insect hearing: from physics to ecology.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Article
- Pattern recognition in field crickets: concepts and neural evidence.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Review
- Computational principles underlying recognition of acoustic signals in grasshoppers and crickets.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Review
- From microseconds to seconds and minutes-time computation in insect hearing.Frontiers in physiology · 2014Review
- Time and timing in the acoustic recognition system of crickets.Frontiers in physiology · 2014Article
- Feature extraction and integration underlying perceptual decision making during courtship behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many animals produce pulse-like signals during acoustic communication. These signals exhibit structure on two time scales: they consist of trains of pulses that are often broadcast in packets-so called chirps. Temporal parameters of the pulse and of the chirp are decisive for female preference. Despite these signals being produced by animals from many different taxa (e.g. frogs, grasshoppers, crickets, bushcrickets, flies), a general framework for their evaluation is still lacking. We propose such a framework, based on a simple and physiologically plausible model. The model consists of feature detectors, whose time-varying output is averaged over the signal and then linearly combined to yield the behavioral preference. We fitted this model to large data sets collected in two species of crickets and found that Gabor filters--known from visual and auditory physiology--explain the preference functions in these two species very well. We further explored the properties of Gabor filters and found a systematic relationship between parameters of the filters and the shape of preference functions. Although these Gabor filters were relatively short, they were also able to explain aspects of the preference for signal parameters on the longer time scale due to the integration step in our model. Our framework explains a wide range of phenomena associated with female preference for a widespread class of signals in an intuitive and physiologically plausible fashion. This approach thus constitutes a valuable tool to understand the functioning and evolution of communication systems in many species.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.