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• W2073066236 abstract "Neurons are subject to various kinds of noise. In addition to synaptic noise, the stochastic opening and closing of ion channels represents an intrinsic source of noise that affects the signal-processing properties of the neuron. We study the response of a stochastic Hodgkin-Huxley neuron to transient input subthreshold pulses. It is found that the average response time decreases but variance increases as the amplitude of channel noise increases. In the case of single-pulse detection, we show that channel noise enables one neuron to detect the subthreshold signals and an optimal membrane area (or channel noise intensity) exists for a single neuron to achieve optimal performance. However, the detection ability of a single neuron is limited by large errors. Here, we test a simple neuronal network that can enhance the pulse-detecting abilities of neurons and find that dozens of neurons can perfectly detect subthreshold pulses. The phenomenon of intrinsic stochastic resonance is also found at both the level of single neurons and the level of networks. At the network level, the detection ability of networks can be optimized for the number of neurons comprising the network." @default.
• W2073066236 created "2016-06-24" @default.
• W2073066236 creator A5021843213 @default.
• W2073066236 creator A5055446742 @default.
• W2073066236 creator A5072660186 @default.
• W2073066236 date "2008-11-11" @default.
• W2073066236 modified "2023-10-18" @default.
• W2073066236 title "Detection of subthreshold pulses in neurons with channel noise" @default.
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• W2073066236 doi "https://doi.org/10.1103/physreve.78.051909" @default.
• W2073066236 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19113157" @default.
• W2073066236 hasPublicationYear "2008" @default.
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