. "14310" . "331878" . . . "2"^^ . . "L\u00E1nsk\u00FD, Petr" . . "2"^^ . "Optimal odor intensity in simple olfactory neuronal models"@en . . "Optimal odor intensity in simple olfactory neuronal models"@en . . "Optimal odor intensity in simple olfactory neuronal models" . "Optimal odor intensity in simple olfactory neuronal models" . . "P(LC06024)" . . "Signal processing in olfactory systems is initiated by binding of odorant molecules to receptor molecules embedded in the membranes of sensory neurons. Three theoretical models and a realistic model for binding and activation of odorant in olfactory sensory neurons have been investigated. The models assume that the response, concentration of activated receptors, is determined by the signal, fixed log-concentration of odorant in perireceptor space. Dependency of the mean response on the signal is realized through the input-output function. How the concentration of activated receptors can code the intensity of odorant is analyzed using statistical properties of the steady-state responses. An approach, we use here, is based on stochastic variant of the law of mass action as a neuronal model. A model experiment is considered, in which a fixed odorant concentration is applied several times and realizations of steady-state characteristics are observed."@en . "RIV/00216224:14310/09:00039597!RIV10-MSM-14310___" . "Signal processing in olfactory systems is initiated by binding of odorant molecules to receptor molecules embedded in the membranes of sensory neurons. Three theoretical models and a realistic model for binding and activation of odorant in olfactory sensory neurons have been investigated. The models assume that the response, concentration of activated receptors, is determined by the signal, fixed log-concentration of odorant in perireceptor space. Dependency of the mean response on the signal is realized through the input-output function. How the concentration of activated receptors can code the intensity of odorant is analyzed using statistical properties of the steady-state responses. An approach, we use here, is based on stochastic variant of the law of mass action as a neuronal model. A model experiment is considered, in which a fixed odorant concentration is applied several times and realizations of steady-state characteristics are observed." . "RIV/00216224:14310/09:00039597" . . . . "[AFD0011CBAA8]" . . "olfactory neuron; optimal stimulus"@en . "Pokora, Ond\u0159ej" . . .