Signal-to-noise ratio gain in neuronal systems.
We explore the possibility of a signal-to-noise ratio (SNR) gain both in a single neuron and a neuronal network. In the presence of a weak sinusoidal or pulse signal and Gaussian noise, the output SNR can exceed the input SNR over a wide range of noise intensities. The high output SNR and SNR gain can be acquired coincidentally at optimal noise levels. The results further verify that noise can play a constructive role in sensory processing in neuronal systems.
Liu
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F
National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China.
Yu
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Y
Wang
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W
D000818:Animals; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D009415:Nerve Net; D009474:Neurons / Q000502:physiology*; D016011:Normal Distribution; D011188:Potassium / Q000378:metabolism; D009435:Synaptic Transmission
D011188:Potassium