Processing of Chemical Sensor Arrays with a Biologically Inspired Model of Olfactory Coding Academic Article uri icon

abstract

  • 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.

author list (cited authors)

  • Raman, B., Sun, P. A., Gutierrez-Galvez, A., & Gutierrez-Osuna, R.

citation count

  • 24

publication date

  • July 2006