Stochastic resonance at criticality in a network model of the human cortex.

ABSTRACT: Stochastic resonance is a phenomenon in which noise enhances the response of a system to an input signal. The brain is an example of a system that has to detect and transmit signals in a noisy environment, suggesting that it is a good candidate to take advantage of stochastic resonance. In this work, we aim to identify the optimal levels of noise that promote signal transmission through a simple network model of the human brain. Specifically, using a dynamic model implemented on an anatomical brain network (connectome), we investigate the similarity between an input signal and a signal that has traveled across the network while the system is subject to different noise levels. We find that non-zero levels of noise enhance the similarity between the input signal and the signal that has trave

SUBMITTER: Vazquez-Rodriguez B 

PROVIDER: S-EPMC5638949 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature