Publikation:

Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification

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galan04_NeurComp.pdf
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2004

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Galán, Roberto Fernandez
Sachse, Silke
Herz, Andreas V. M.

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Neural Computation. 2004, 16(5), pp. 999-1012. ISSN 0899-7667. eISSN 1530-888X. Available under: doi: 10.1162/089976604773135078

Zusammenfassung

The antennal lobe plays a central role for odor processing in insects, as demonstrated by electrophysiological and imaging experiments. Here we analyze the detailed temporal evolution of glomerular activity patterns in the antennal lobe of honeybees. We represent these spatiotemporal patterns as trajectories in a multidimensional space, where each dimension accounts for the activity of one glomerulus. Our data show that the trajectories reach odor-specific steady states (attractors) that correspond to stable activity patterns at about 1 second after stimulus onset.As revealed by a detailed mathematical investigation, the trajectories are characterized by different phases: response onset, steady-state plateau, response offset, and periods of spontaneous activity. Ananalysis based on supportvector machines quantifies the odor specificity of the attractors and the optimal time needed for odor discrimination. The results support the hypothesis of a spatial olfactory code in the antennal lobe and suggest a perceptron-like readout mechanism that is biologically implemented in a downstream network, such as the mushroom body.

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570 Biowissenschaften, Biologie

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ISO 690GALÁN, Roberto Fernandez, Silke SACHSE, C. Giovanni GALIZIA, Andreas V. M. HERZ, 2004. Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification. In: Neural Computation. 2004, 16(5), pp. 999-1012. ISSN 0899-7667. eISSN 1530-888X. Available under: doi: 10.1162/089976604773135078
BibTex
@article{Galan2004OdorD-7705,
  year={2004},
  doi={10.1162/089976604773135078},
  title={Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification},
  number={5},
  volume={16},
  issn={0899-7667},
  journal={Neural Computation},
  pages={999--1012},
  author={Galán, Roberto Fernandez and Sachse, Silke and Galizia, C. Giovanni and Herz, Andreas V. M.},
  note={Article Number: 9991012}
}
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