Evolving spiking neural networks for taste recognition

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 2091-2097

  Soltic, S ^a,b   Wysoski, S G ^b   Kasabov, N K ^b  

^a MANUKAU INSTITUTE OF TECHNOLOGY   (New Zealand)

^b AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURONS; PROGRAMMING THEORY;

INFORMATION ENCODING; INTEGRATE AND FIRES; POPULATION CODING; RANK ORDERS; SPIKING NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 56349108660     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634085     Document Type: Conference Paper

References (26)

1. M. Cortina, A. Duran, S. Alegret, and M., del Valle, "A sequential injection electronic tongue employing the transient response from Potentiometrie sensors for anion multidetermination," Analytical and Bioanalytical Chemistry, vol. 358, no. 7, pp. 1186-1194, 2006.
2. H. C. de Sousa, A. C. P. L. F. Carvalho, A. Riul Jr., and L.H.C. Mattoso, "Using MLP networks to classify red wines and water readings of an electronic tongue," in Proc. VII Brazilian Symposium on Neural Networks (SBRN'02), 2002, pp. 13-18.
3. J. Gallardo, S. Alegret, R. Muñoz, M. De-Román, L. Leija, P. R. Hernández, and M. del Valle, "An electronic tongue using Potentiometrie all-solid-state PVC-membrane sensors for the simultaneous quantification of ammonium and potassium ions inwater," Analytical and Bioanalytical Chemistry, vol. 377, no. 2, pp. 248-256, 2003.
4. A. Riul Jr, H. C. de Sousa, R. R. Malmegrim, D. S. dos Santos Jr., A. C. P. L. F. Carvalho, F. J. Fonseca, O. N. Oliveira Jr., and L. H. C. Mattoso, "Wine classification, by taste sensors made from ultra-thin films and using neural networks," Sensors and Actuators. B, Chemical, vol. 98, no. 1, pp. 77-82, 2004.
5. J. P. Stitt, R. P. Gaumond, J. L. Frazier, and F. E. Hanson, "A comparison of neural spike classification techniques", in Proc. 19th International Conference - IEEE/EMBS, Chicago, IL. USA, 1997, pp. 1092-1094.
6. B. Varkevisser, D. Peterson, T. Ogura, and S. C. Kinnamon, "Neural networks distinguish between taste qualities based on receptor cell population responses," Chemical Senses, vol. 26, no. 5, pp. 499-505, 2001.
7. P. Wide, F. Winquist, P. Bergsten, and E. M. Petriu, "The human-based multisensor fusion method for artificial nose and tongue sensor data," IEEE Transactions on Instrumentation and Measurement, vol. 47, no. 5, pp. 1072-1077, 1998.
8. J. Bradbury. (2004). Taste perception: Cracking the code. PLoS Biol., [Online]. 2(3). Available: http://biology.plosjournals.org
9. J. Chandrashekar, M. A. Hoon, N. J. P. Ryba, and C. S. Zuker, "The receptors and cells for mammalian taste," Nature, vol. 444, pp. 288-294, 2006.
10. D. R. Reed, T. Tanaka, and A. H. McDaniel, "Diverse tastes: genetics of sweet and bitter perception," Physiology and Behavior, vol. 88, no. 3, pp. 215-226, 2006.
11. P. Hauptmann, R. Borngraeber, J. Schroeder, and J. Auge, "Application of novel sensor electronics for quartz resonators in artificial tongue," in Proc. the 2000 IEEE/EIA International Frequency Control Symposium and Exhibition, 2000, pp.100-105.
12. N. M. Mikhaleva, and E. G. Kulapina, "Arrays of nonselective nonionic-surfactant sensors for the separate determination of the homologues of polyoxyethylated nonylphenols," Journal of Analytical Chemistry, vol. 60, no. 6, pp. 573-580, 2005.
13. A. Riul Jr, D. S. dos Santos Jr, K. Wohnrath, R. Di Tomrnazo, A. C. P. L. F. Carvalho, F. J. Fonseca, O. N. Oliveira Jr, D. M. Taylor, and L. H. C. Mattoso, "An artificial taste sensor: efficient combination of sensors made from Langmuir-Blodgett films of conducting polymers and a ruthenium complex and self-assembled films of an Azobenzenecontaining polymer," Langmuir, vol. 18, pp. 239-245, 2002.
14. S. G. Wysoski, L. Benuskova, and N. Kasabov, "On-line learning with structural, adaptation in a network of spiking neurons for visual pattern. recognition," in Proc. International Conference on Artificial Neural Networks, ICANN, Part I, LNCS, vol. 4131, pp. 61-70, 2006.
15. A. Delorme, and S. J. Thorpe, "Face identification using one spike per neuron: resistance to image degradation," Neural Networks, vol. 14, pp. 795-803, 2001.
16. S. M. Bohte, J. N. Kok, and H. La Poutre, "Error-backpropagation in temporally encoded networks of spiking neurons," Neurocomputing, vol. 48, pp. 17-37, 2002.
17. S. Thorpe, A. Delorme, and R. Van Rullen, "Spike based strategies for rapid processing," Neural Networks, vol. 14, no. 6, pp. 715-726, 2001.
18. J. I. Glendinning, A. Davis, and M Rai, "Temporal coding mediates discrimination of "bitter" taste stimuli by an insect," The Journal of Neuroscience, vol. 26 no. 35, pp. 8900-8908, 2006.
19. P. M. Di. Lorenzo, and J. D. Victor, "Taste response variability and temporal coding in the nucleus of the solitary tract of the rat," Journal of Neurophysiology, vol. 90, pp. 1418-1431, 2003.
20. D. B. Katz, M. A. L. Nicolelis, and S. A. Simon, "Gustatory processing is dynamic and distributed," Current Opinion in Neurobiology, vol. 12, pp. 448-454, 2002.
21. E. Y. Chang, K. F. Morris, R. Shannon, and B. G. Lindsey, "Repeated sequences of interspike intervals in baroresponsive respiratory related neural, assemblies of the cat brain stem," Journal of Neurophysiology, vol. 84, pp. 1136-1148, 2000.
22. Y. Prut, E. Vaadia, H. Bagman, I. Haalman, H. Slovin, and M. Abeles, "Spatiotemporal, structure of cortical activity: properties and behavioral relevance," Journal of Neurophysiology, vol. 79, pp. 2857-2874, 1998.
23. S. G. Wysoski, L. Benuskova, and N. Kasabov, 'Text-independent speaker authentication with spiking neural networks," in Proc. International Conference on Artificial Neural Networks, ICANN, LNCS, vol. 4669, pp. 758-767, 2007.
24. S. G. Wysoski, L. Benuskova, and N. Kasabov, "Adaptive spiking neural networks for audiovisual pattern recognition," in Proc. International Conference of Neural Information Processing, ICONIP, LNCS, 2007 (to appear).
25. J. V. Vertagen, and L. Engelen, "The neurocognitive bases of human multimodal, food perception: sensory integration," Neuroscience and Biobehavioral Reviews, vol. 30, no. 5, pp. 614-650, 2005.
26. H. Yoshimura, N. Kato, Y. Sugai, M. Honjo, J. Sato, N. Segami, and N. Onoda, "To-and-fro optical voltage signal propagation between, in insular gustatory and parietal oral areas in rat cortex slices," Brain Research, vol. 1015, pp. 114-121, 2004.