Robust Ratiometric Infochemical Communication in a Neuromorphic “Synthetic Moth-

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• 作者：Timothy C. Pearce (23)
  Salah Karout (23)
  Alberto Capurro (23)
  Zoltán Rácz (24)
  Marina Cole (24)
  Julian W. Gardner (24)
  
• 关键词：machine olfaction ; ratiometric processing ; neuromorphic model ; pheromone processing ; chemical plumes ; infochemical communication ; transient processing
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：8064
• 期：1
• 页码：216-227
• 全文大小：1709KB
• 参考文献：1. Wyatt, T.D.: Pheromones and Animal Behaviour, pp. 1-08. Cambridge University Press (2003)
  2. Vickers, N.J., Baker, T.C.: Reiterative responses to single strands of odor promote sustained upwind flight and odor source location by moths. Proc. Natl. Acad. Sci. USA?91, 5756-760 (1994) CrossRef
  3. Vickers, N.J., Christensen, T.A.: Functional divergence of spatially conserved olfactory glomeruli in two related moth species. Chem. Senses?28, 325-38 (2003) CrossRef
  4. Mustaparta, H.: Central mechanisms of pheromone information processing. Chem. Senses?21, 269-75 (1996) CrossRef
  5. Rácz, Z., Cole, M., Gardner, J.W., Chowdhury, M.F., Bula, W.P., Gardeniers, J.G.E., Karout, S., Capurro, A., Pearce, T.C.: Design and Implementation of a Modular Biomimetic Infochemical Communication System. Int. J. Circ. Theor. Appl. (2012), doi:10.1002/cta.1829
  6. Rácz, Z., Olsson, S., Gardner, J., Pearce, T.C., Hansson, B., Cole, M.: Challenges of Biomimetic Infochemical Communication. Proc. Comp. Sci.?7, 106-09 (2011) CrossRef
  7. Cole, M., Gardner, J.W., Racz, Z., Pathak, S., Guerrero, A., Munoz, L., Carot, G., Pearce, T.C., Challiss, J., Markovic, D., Hansson, B.S., Olsson, S., Kubler, L., Gardeniers, J.G.E., Dimov, N., Bula, W.: Biomimetic Insect Infochemical Communication System. In: Proceedings 8th IEEE Conference on Sensors, pp. 1- (2009)
  8. Cole, M., Gardner, J.W., Pathak, S., Pearce, T.C., Racz, Z.: Towards a biosynthetic infochemical communication system. In: Proceedings of the Eurosensors XXIII Conference, pp. 1- (2009)
  9. Hansson, B.S., Ljungberg, H., Hallberg, E., L?fstedt, C.: Functional specialization of olfactory glomeruli in a moth. Science?256, 1313-315 (1992) CrossRef
  10. Carlsson, M.A., Hansson, B.S.: Responses in highly selective sensory neurons to blends of pheromone components in the moth Agrotis segetum. J. Insect Physiol.?48, 443-51
  11. Hansson, B.S., Anton, S.: Function and morphology of the antennal lobe: New developments. Annu. Rev. Entomol.?45, 203-31 (2000, 2002)
  12. Akers, R.P., O’Connell, R.J.: Response specificity of male olfactory receptor neurons for the major and minor components of a female pheromone blend. Physiol. Entomol.?16, 1-7 (1991) CrossRef
  13. Sun, X.J., Tolbert, L.P., Hildebrand, J.G.: Synaptic organization of the uniglomerular projection neurons of the antennal lobe of the moth Manduca sexta: A laser scanning confocal and electron microscopic study. J. Comp. Neurol.?379, 2-0 (1997) CrossRef
  14. Carlsson, M.A., Galizia, C.G., Hansson, B.S.: Spatial representation of odours in the antennal lobe of the moth Spodoptera littoralis (Lepidoptera: Noctuidae). Chem. Senses?27, 231-44 (2002) CrossRef
  15. Chong, K.Y., Capurro, A., Karout, S., Pearce, T.C.: Stimulus and network dynamics collide in a ratiometric model of the antennal lobe macroglomerular complex. PLoS ONE 7, e29602-17 (2012), doi:10.1371/journal.pone.0029602
  16. Guerrero-Rivera, R., Morrison, A., Diesmann, M., Pearce, T.C.: Programmable logic construction kits for hyper-real-time neuronal modeling. Neural Comput.?18, 2651-679 (2006) CrossRef
  17. Yang, J., Rácz, Z., Gardner, J.W., Cole, M., Chen, H.: Ratiometric info-chemical communication system based on polymer-coated surface acoustic wave microsensors. Sensors Actuators B?173, 547-54 (2012) CrossRef
  18. Pearce, T.C., Gu, J., Chanie, E.: Chemical Source Classification in Naturally Turbulent Plumes. Analytical Chemistry?79(22), 8511-519 (2007) CrossRef
  19. Marco, S., Gutierrez-Gálvez, A.: Recent developments in the application of biologically inspired computation to chemical sensing. In: AIP Conference Proceedings, vol.?1137, p. 151 (2009)
  20. Huerta, R., Nowotny, T.: Bio-inspired solutions to the challenges of chemical sensing. Front. Neuroeng.?5, 24 (2012), doi:10.3389/fneng.2012.00024 CrossRef
  
• 作者单位：Timothy C. Pearce (23)
  Salah Karout (23)
  Alberto Capurro (23)
  Zoltán Rácz (24)
  Marina Cole (24)
  Julian W. Gardner (24)
  
  23. Centre for Bioengineering, Department of Engineering, University of Leicester, UK
  24. Microsensors and Bioelectronics Laboratory, School of Engineering, University of Warwick, UK
  

文摘

An often cited advantage of neuromorphic systems is their robust behavior in the face of operating variability, such as sensor noise and non-stationary stimuli statistics inherent to naturally variable environmental processes. One of the most challenging examples of this is extracting information from advected chemical plumes, which are governed by naturally turbulent unsteady flow, one of the very few remaining macroscopic physical phenomena that cannot be described using deterministic Newtonian mechanics. We describe a “synthetic moth-robotic platform that incorporates a real-time neuromorphic model of early olfactory processing in the moth brain (the macro-glomerular complex) for extracting ratiometric information from chemical plumes. Separate analysis has shown that our neuromorphic model achieves rapid and efficient classification of ratiometrically encoded chemical blends by exploiting early phase chemosensor array transients, with execution times well beyond biological timescales. Here, we test our neuromorphic synthetic moth in a naturally turbulent chemical plume and demonstrate robust ratiometric communication of infochemical information.