Fisher information as the measure of signal optimality in olfactory neuronal neurons

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Authors	POKORA Ondřej
Year of publication	2010
Type	Article in Proceedings
Conference	Acta Universitatis Matthiae Belii, Series mathematics, 16
MU Faculty or unit	Faculty of Science
Citation
Field	General mathematics
Keywords	approximations of Fisher information;olfactory neuron;optimal signal
Description	Some new approximations of Fisher information are introduced and theor properties are derived. These approximations are applied to locate the optimal odorant concentration in two simple theoretical models for coding of odor intensity in olfactory sensory neurons. The results are compared with the deterministic criterion and with results based on Fisher information measure.
Related projects:	Jaroslav Hájek Center for Theoretical and Applied Statistics