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@misc{877222, author = {Pokora, Ondřej}, booktitle = {2nd INCF Congress of Neuroinformatics, Workshop on Sensory Neuroinformatics, Plzeň}, keywords = {olfactory neuronal models; stochastic modelling;Fisher information;information theory}, language = {eng}, title = {Statistical approach in search for optimal signal in simple olfactory neuronal models}, year = {2009} }
TY - SLIDE ID - 877222 AU - Pokora, Ondřej PY - 2009 TI - Statistical approach in search for optimal signal in simple olfactory neuronal models KW - olfactory neuronal models KW - stochastic modelling;Fisher information;information theory N2 - The talk covers basic description of stochastic modelling in olfactory neuronal models. Few simple theoretical models are described via random processes. Measures for quantifying how well the input odorant concentration can be determined form the knowledge of the response, concentration of activated receptors in the cell membrane, are introduced. Given methods and computations are illustrated on a biophysical model and empirical data. ER -
POKORA, Ondřej. Statistical approach in search for optimal signal in simple olfactory neuronal models. In \textit{2nd INCF Congress of Neuroinformatics, Workshop on Sensory Neuroinformatics, Plzeň}. 2009.
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