Sensor-based machine olfaction with a neurodynamics model of the olfactory bulb Conference Paper uri icon

abstract

  • We propose a biologically inspired model of olfactory processing for chemosensor arrays. The model captures three functions in the early olfactory pathway: chemotopic convergence of receptor neurons onto the olfactory bulb, center on-off surround lateral interactions, and adaptation to sustained stimuli. The projection of ORNs onto glomerular units is simulated with a self-organizing model of chemotopic convergence, which leads to odor-specific spatial patterning. This information serves as an input to a network of mitral cells with center on-off surround lateral inhibition, which enhances the initial contrast among odors and decouples odor identity from intensity. Finally, slow adaptation of mitral cells adds a temporal dimension to the spatial patterns that further enhances odor discrimination. The model is validated using experimental data from an array of temperature-modulated metal-oxide sensors.

name of conference

  • 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)

published proceedings

  • 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)

author list (cited authors)

  • Raman, B., Gutierrez-Galvez, A., Percra-Lluna, A., & Gutierrez-Osuna, R.

citation count

  • 12

complete list of authors

  • Raman, B||Gutierrez-Galvez, A||Percra-Lluna, A||Gutierrez-Osuna, R

publication date

  • January 2004

publisher