ArticleeNeuro
Circuit and Cellular Mechanisms Facilitate the Transformation from Dense to Sparse Coding in the Insect Olfactory System.
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13 citing papers in PubMed, 29 citations in OpenAlex.
- A voltage-dependent switch underlies efficient yet specific learning and memory.Current biology : CB · 2026Article
- Amplification of Olfactory Transduction Currents Implements Sparse Stimulus Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Dynamics of two distinct memory interactions during water seeking inProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Nonlinear high-activity neuronal excitation enhances odor discrimination.Current biology : CB · 2025Article
- Review
- Amplification of olfactory transduction currents implements sparse stimulus encoding.bioRxiv : the preprint server for biology · 2024Article
- Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva.iScience · 2024Article
- The cellular architecture of memory modules ineLife · 2023Article
- Olfactory receptor neurons generate multiple response motifs, increasing coding space dimensionality.eLife · 2023Article
- Visualization of learning-induced synaptic plasticity in output neurons of the Drosophila mushroom body γ-lobe.Scientific reports · 2022Article
- Unc13A and Unc13B contribute to the decoding of distinct sensory information in Drosophila.Nature communications · 2021Article
- A spiking neural program for sensorimotor control during foraging in flying insects.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Calcium in Kenyon Cell Somata as a Substrate for an Olfactory Sensory Memory inFrontiers in cellular neuroscience · 2018Article
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3 authors at 2 institutions in 1 country.
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Abstract
Transformations between sensory representations are shaped by neural mechanisms at the cellular and the circuit level. In the insect olfactory system, the encoding of odor information undergoes a transition from a dense spatiotemporal population code in the antennal lobe to a sparse code in the mushroom body. However, the exact mechanisms shaping odor representations and their role in sensory processing are incompletely identified. Here, we investigate the transformation from dense to sparse odor representations in a spiking model of the insect olfactory system, focusing on two ubiquitous neural mechanisms: spike frequency adaptation at the cellular level and lateral inhibition at the circuit level. We find that cellular adaptation is essential for sparse representations in time (temporal sparseness), while lateral inhibition regulates sparseness in the neuronal space (population sparseness). The interplay of both mechanisms shapes spatiotemporal odor representations, which are optimized for the discrimination of odors during stimulus onset and offset. Response pattern correlation across different stimuli showed a nonmonotonic dependence on the strength of lateral inhibition with an optimum at intermediate levels, which is explained by two counteracting mechanisms. In addition, we find that odor identity is stored on a prolonged timescale in the adaptation levels but not in the spiking activity of the principal cells of the mushroom body, providing a testable hypothesis for the location of the so-called odor trace.
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