Information processing in noisy burster models of sensory neurons

Processing of external stimuli by sensory neurons often involves bursting, when epochs of fast firing alternate with intervals of quiescence. In particular, sensory neurons of electroreceptors in paddlefish ( Polyodon spathula) undergo bursting when stimulated externally with broad-band noise, but o...

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Veröffentlicht in:Journal of theoretical biology 2005-11, Vol.237 (1), p.30-40
Hauptverfasser: Liepelt, Steffen, Freund, Jan A., Schimansky-Geier, Lutz, Neiman, Alexander, Russell, David F.
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creator Liepelt, Steffen
Freund, Jan A.
Schimansky-Geier, Lutz
Neiman, Alexander
Russell, David F.
description Processing of external stimuli by sensory neurons often involves bursting, when epochs of fast firing alternate with intervals of quiescence. In particular, sensory neurons of electroreceptors in paddlefish ( Polyodon spathula) undergo bursting when stimulated externally with broad-band noise, but otherwise fire spontaneously in a quasiperiodic tonic manner. We use a simple phenomenological model for noise-induced bursting to quantify analytically, by means of the Kullback entropy and Fisher information, the gain in information transfer and electroreceptor sensitivity for external noisy stimuli. A good agreement between theoretical predictions, numerical simulations and experimental data is shown.
doi_str_mv 10.1016/j.jtbi.2005.03.029
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subjects Animals
Computer Simulation
Detection
Electric Fish - physiology
Electric Stimulation
Electroreceptor
Kullback information
Models, Neurological
Neurons, Afferent - physiology
Noise stimulus
Paddlefish
Polyodon spathula
Receptor sensitivity
Sensory neuron
Sensory Receptor Cells - physiology
Sensory Thresholds
Stochastic burster model
Stochastic Processes
title Information processing in noisy burster models of sensory neurons
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