Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons
| Authors | |
|---|---|
| Year of publication | 2007 |
| Type | Article in Proceedings |
| Conference | Advances in Brain, Vision, and Artificial Intelligence, Lecture Notes in Computer Science 4729 |
| MU Faculty or unit | |
| Citation | |
| Web | doi:10.1007/978-3-540-75555-5_34 |
| Field | Applied statistics, operation research |
| Keywords | neuronal coding;optimal odorant concentration;Fisher information |
| Description | Several models for coding of odor intensity in olfactory sensory neurons are investigated. Behavior of the systems is described by stochastic processes of binding (and activation). Characteristics how well the odorant concentration can be estimated from the knowledge of response, the concentration of bounded (activated) neuron receptors, are studied. This approach is based on the Fisher information and analogous information measures. Results are compared with the classical (determistic) approach via steepness of the input-output transfer function. |
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