Projects / Programmes
Detecting neuron's activity changes
| Code |
Science |
Field |
Subfield |
| 1.03.01 |
Natural sciences and mathematics |
Biology |
Zoology and zoophysiology |
| Code |
Science |
Field |
| B360 |
Biomedical sciences |
Animal physiology |
| P160 |
Natural sciences and mathematics |
Statistics, operations research, programming, actuarial mathematics |
| B110 |
Biomedical sciences |
Bioinformatics, medical informatics, biomathematics biometrics |
neurophysiology, olfactory cells, stochastic process, statistics, statistical graphics
Researchers (1)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
06989 |
PhD Andrej Blejec |
Mathematics |
Head |
2002 - 2004 |
0 |
Organisations (1)
| no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
| 1. |
0105 |
National Institute of Biology |
Ljubljana |
5055784 |
0 |
Abstract
Olfactory information is coded as a response of large number of olfactory cells to the environmental odors. Olfactory cells are spontaneously active and fire action potentials even in the absence of stimuli. As the response to odor stimulation, single olfactory cell responds with increased (excitation) or decreased (suppression) action potential firing rate, which changes the action potential density. Detection of changes with classical methods is not efficient enough. We will develop and investigate the properties of statistical method for detection of activity changes. The method will enable rapid, straightforward and efficient detection of single cell response. Based on stochastic properties of spontaneous activity, the method analyses the slope of cumulative distribution and determines the action potential density changes. The method will provide a possibility to analyze response of large number of cells, which is essential for further biological and medical research of olfaction and statistical evaluation of olfactory code.
