Novel class of neural stochastic resonance and error-free information transfer.
We investigate a novel class of neural stochastic resonance (SR) exhibiting error-free information transfer. Unlike conventional neural SR, where the decrease of a system's response with too much noise is associated with an increase in the baseline firing rate, here the bell-shaped SR behavior of the input-output cross correlation emerges versus increasing input noise in spite of no significant increase of the baseline firing rate. The neuron thus acts as an error-free detector for weak signals. An integrate-and-fire model with short-term synaptic depression convincingly validates our experimental findings for SR in the human tactile blink reflex.
Yasuda
Hideaki
H
Department of Psychiatry, School of Medicine, Shimane University, 89-1 Enyacho, Izumo City, Shimane 693-8501, Japan.
Miyaoka
Tsuyoshi
T
Horiguchi
Jun
J
Yasuda
Akira
A
Hänggi
Peter
P
Yamamoto
Yoshiharu
Y
D000200:Action Potentials / Q000502:physiology; D000293:Adolescent; D000328:Adult; D001767:Blinking / Q000502:physiology; D001933:Brain Stem / Q000502:physiology; D004576:Electromyography; D016057:Evoked Potentials, Auditory, Brain Stem / Q000502:physiology*; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D009622:Noise; D013269:Stochastic Processes