Processing of chemical sensor arrays with a biologically inspired model of olfactory coding.
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.
Raman
Baranidharan
B
Sun
Ping A
PA
Gutierrez-Galvez
Agustin
A
Gutierrez-Osuna
Ricardo
R
D008954:Models, Biological; D009475:Neurons, Afferent / Q000502:physiology; D009833:Olfactory Pathways / Q000502:physiology; D018035:Receptors, Odorant / Q000502:physiology; D012903:Smell / Q000502:physiology
D018035:Receptors, Odorant