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Information processing in noisy burster models of sensory neurons

机译:感觉神经元的噪声爆发模型中的信息处理

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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. (c) 2005 Elsevier Ltd. All rights reserved.
机译:感觉神经元对外部刺激的处理通常涉及爆发,这是因为快速发射的时间间隔与静止间隔交替出现。尤其是,当用宽带噪声从外部刺激时,桨鱼(Polyodon spathula)中电感受器的感觉神经元会爆发,但否则会以准周期性的滋补方式自发放电。我们使用简单的现象学模型对噪声诱发的爆发进行量化分析,借助Kullback熵和Fisher信息,信息传递的增益和外部噪声刺激的电感受器敏感性。显示了理论预测,数值模拟和实验数据之间的良好一致性。 (c)2005 Elsevier Ltd.保留所有权利。

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