Altered information transfer in neuronal networks marks pathology

P-234: Altered Epigenetic Marks on Chromatin Condensing Genes of Sperm in TESE Negative Men Referred to Royan Institute

Information Transfer Fidelity in Networks of Spins

Networks of spins, or spintronic networks, are given an Information Transfer Fidelity (ITF) derived from an upper bound on the probability of transmission of the excitation from one spin to another. It is shown that this theoretical bound can be reached asymptotically in time under certain conditions. The process of achieving maximum transfer probability is given a dynamical model, the translat...

Information transfer in community structured multiplex networks

The study of complex networks that account for different types of interactions has become a subject of interest in the last few years, specially because its representational power in the description of users interactions in diverse online social platforms (Facebook, Twitter, Instagram, etc.). The mathematical description of these interacting networks has been coined under the name of multilayer...

Maximum Information Transfer in Feedforward Neural Networks

The principle of maximum information preservation has been successfully used to derive learning algorithms for self-organizing neural networks. In this paper, we state and apply the corresponding principle for supervised networks: the principle of minimum information loss. We do not propose a new learning algorithm, but rather a pruning algorithm which works to achieve minimum information loss ...

Noise enhances information transfer in hierarchical networks

We study the influence of noise on information transmission in the form of packages shipped between nodes of hierarchical networks. Numerical simulations are performed for artificial tree networks, scale-free Ravasz-Barabási networks as well for a real network formed by email addresses of former Enron employees. Two types of noise are considered. One is related to packet dynamics and is respons...