title: Signal-to-noise ratio gain in neuronal systems.
abstract: 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.
authors: National Laboratory of Solid State Microstructure and Department of Physics, Nanjing University, Nanjing 210093, China.
authors: F
authors: F
authors: Liu
authors: Y
authors: Y
authors: Yu
authors: W
authors: W
authors: Wang
mesh_terms: 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
chemical_list: D011188:Potassium