@inproceedings{a481fbf70cc84998a65fa191847014ef,
title = "Switching dynamics of neural systems in the presence of multiplicative colored noise",
abstract = "We study the dynamics of a simple bistable system driven by multiplicative correlated noise. Such system mimics the dynamics of classical attractor neural networks with an additional source of noise associated, for instance, with the stochasticity of synaptic transmission. We found that the multiplicative noise, which performs as a fluctuating barrier separating the stable solutions, strongly influences the behaviour of the system, giving rise to complex time series and scale-free distributions for the escape times of the system. This finding may be of interest to understand nonlinear phenomena observed in real neural systems and to design bio-inspired artificial neural networks with convenient complex characteristics.",
keywords = "Bistable systems, Multiplicative colored noise, Neural up and down states, Switching dynamics",
author = "Mejias, \{Jorge F.\} and Torres, \{Joaquin J.\} and Samuel Johnson and Kappen, \{Hilbert J.\}",
year = "2009",
doi = "10.1007/978-3-642-02478-8\_3",
language = "English",
isbn = "3642024777",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "17--23",
booktitle = "Bio-Inspired Systems",
edition = "PART 1",
note = "10th International Work-Conference on Artificial Neural Networks, IWANN 2009 ; Conference date: 10-06-2009 Through 12-06-2009",
}