Odor recognition with synchronization using integrate and fire neurons

Xiaobin Lin, Philippe De Wilde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


We constructed a new model of an olfactory system with expanded integrate and fire neurons to explore its behaviors with external inputs. The model is built in according to the reliable medical and anatomical data about biological olfactory systems. Expanded integrate and fire neurons become synchronized when the external inputs fall in a small range, which is similar to the standard neurons introduced an applied by Hopfield to the olfactory system. We investigate the range of external input currents leading to synchronization for expanded integrate and fire neurons. This feature is used to recognize spatial patterns which represent odorants. Both spatial and temporal patterns exist in the networks. ©2007 IEEE.

Original languageEnglish
Title of host publicationInternational Joint Conference on Neural Networks, 2007
Number of pages6
ISBN (Electronic)978-1-4244-1380-5, 9781424413805
ISBN (Print)978-1-4244-1379-9
Publication statusPublished - 2007
Event2007 International Joint Conference on Neural Networks - Orlando, FL, United States
Duration: 12 Aug 200717 Aug 2007

Publication series

NameIEEE International Conference on Neural Networks (ICNN)
ISSN (Print)1098-7576


Conference2007 International Joint Conference on Neural Networks
Abbreviated titleIJCNN 2007
CountryUnited States
CityOrlando, FL



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