Suprathreshold stochastic resonance in a neuronal network model: A possible strategy for sensory coding
UNSPECIFIED (2000) Suprathreshold stochastic resonance in a neuronal network model: A possible strategy for sensory coding. In: Workshop on Future Directions for Intelligent Systems and Information Sciences, NOV 22-23, 1999, DUNEDIN, NEW ZEALAND.Full text not available from this repository.
The possible mechanism To explain the dynamics of the transduction in sensory neurons is investigated. We consider a parallel array of noisy FitzHugh-Nagumo model neurons, subject to a common input signal. The information transmission of the signal through the array is studied as a function of the internal noise intensity. The threshold of each neuron is set suprathreshold with respect to the input signal. A form of stochastic resonance, termed suprathreshold stochastic resonance (SSR), which has recently been observed in a network of threshold devices  is also found to occur in the FHN array. It is demonstrated that significant information gain, over and above that attainable in a single FHN element, can be achieved via the SSR effect. These information gains are still achievable under the assumption that the thresholds are fully adjustable.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Series Name:||STUDIES IN FUZZINESS AND SOFT COMPUTING|
|Journal or Publication Title:||FUTURE DIRECTIONS FOR INTELLIGENT SYSTEMS AND INFORMATION SCIENCES|
|Publisher:||PHYSICA-VERLAG GMBH & CO|
|Number of Pages:||12|
|Page Range:||pp. 236-247|
|Title of Event:||Workshop on Future Directions for Intelligent Systems and Information Sciences|
|Location of Event:||DUNEDIN, NEW ZEALAND|
|Date(s) of Event:||NOV 22-23, 1999|
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