Processing of chemical sensor arrays with a biologically inspired model of olfactory coding

Baranidharan Raman, Ping A. Sun, Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


This paper presents a computational model for chemical sensor arrays inspired by the first two stages in the olfactory pathway: distributed coding with olfactory receptor neurons and chemotopic convergence onto glomerular units. We propose a monotonic concentration-response model that maps conventional sensor-array inputs into a distributed activation pattern across a large population of neuroreceptors. Projection onto glomerular units in the olfactory bulb is then simulated with a self-organizing model of chemotopic convergence. The pattern recognition performance of the model is characterized using a database of odor patterns from an array of temperature modulated chemical sensors. The chemotopic code achieved by the proposed model is shown to improve the signal-to-noise ratio available at the sensor inputs while being consistent with results from neurobiology.

Original languageEnglish
Pages (from-to)1015-1024
Number of pages10
JournalIEEE Transactions on Neural Networks
Issue number4
StatePublished - Jul 2006


  • Chemical sensor arrays
  • Machine olfaction
  • Olfactory bulb
  • Olfactory receptors


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