ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2012
Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.PLoS computational biology · 2026Article
- Acoustic and language-specific sources for phonemic abstraction from speech.Nature communications · 2024Article
- Sound processing in the cricket brain: evidence for a pulse duration filter.Journal of neurophysiology · 2023Article
- Age-Related Changes in Temporal Processing of Rapidly-Presented Sound Sequences in the Macaque Auditory Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Robustness of an innate releasing mechanism against degradation of acoustic communication signals in the grasshopper Chorthippus biguttulus.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2018Article
- Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli.Journal of mathematical neuroscience · 2018Article
- Relative weighting of acoustic information during mating decisions in grasshoppers indicates signatures of sexual selection.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2017Article
- Response recovery in the locust auditory pathway.Journal of neurophysiology · 2016Article
- Firing-rate resonances in the peripheral auditory system of the cricket, Gryllus bimaculatus.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2015Article
- A temperature rise reduces trial-to-trial variability of locust auditory neuron responses.Journal of neurophysiology · 2015Article
- Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.PLoS computational biology · 2015Article
- Temporal integration at consecutive processing stages in the auditory pathway of the grasshopper.Journal of neurophysiology · 2015Article
- Computational themes of peripheral processing in the auditory pathway of insects.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
- Asymmetrical integration of sensory information during mating decisions in grasshoppers.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Temperature effects on the tympanal membrane and auditory receptor neurons in the locust.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2014Article
- Cell-intrinsic mechanisms of temperature compensation in a grasshopper sensory receptor neuron.eLife · 2014Article
- Neural representation of calling songs and their behavioral relevance in the grasshopper auditory system.Frontiers in systems neuroscience · 2014Article
- Computational principles underlying the recognition of acoustic signals in insects.Journal of computational neuroscience · 2013Article
- Feature extraction and integration underlying perceptual decision making during courtship behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Sparse coding schemes are employed by many sensory systems and implement efficient coding principles. Yet, the computations yielding sparse representations are often only partly understood. The early auditory system of the grasshopper produces a temporally and population-sparse representation of natural communication signals. To reveal the computations generating such a code, we estimated 1D and 2D linear-nonlinear models. We then used these models to examine the contribution of different model components to response sparseness. 2D models were better able to reproduce the sparseness measured in the system: while 1D models only captured 55% of the population sparseness at the network's output, 2D models accounted for 88% of it. Looking at the model structure, we could identify two types of computation, which increase sparseness. First, a sensitivity to the derivative of the stimulus and, second, the combination of a fast, excitatory and a slow, suppressive feature. Both were implemented in different classes of cells and increased the specificity and diversity of responses. The two types produced more transient responses and thereby amplified temporal sparseness. Additionally, the second type of computation contributed to population sparseness by increasing the diversity of feature selectivity through a wide range of delays between an excitatory and a suppressive feature. Both kinds of computation can be implemented through spike-frequency adaptation or slow inhibition-mechanisms found in many systems. Our results from the auditory system of the grasshopper are thus likely to reflect general principles underlying the emergence of sparse representations.
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