@inproceedings{ed47f7b35d1047afb2fc3d33a89411a0,
title = "Odor recognition with synchronization using integrate and fire neurons",
abstract = "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. {\textcopyright}2007 IEEE.",
keywords = "TIMING-BASED COMPUTATION, NETWORKS",
author = "Xiaobin Lin and {De Wilde}, Philippe",
note = "INSPEC Accession Number: 9797864; 2007 International Joint Conference on Neural Networks, IJCNN 2007 ; Conference date: 12-08-2007 Through 17-08-2007",
year = "2007",
doi = "10.1109/IJCNN.2007.4371043",
language = "English",
isbn = "978-1-4244-1379-9",
series = "IEEE International Conference on Neural Networks (ICNN) ",
publisher = "IEEE",
pages = "705--710",
booktitle = "International Joint Conference on Neural Networks, 2007",
address = "United States",
}