Articles tagged with Network Dynamics
Scientists at Max Planck Institute discovered that activity patterns on scale-free networks have unusual dynamic properties, robust against random perturbations but sensitive to selective ones. These networks can store and retrieve fixed patterns, making them suitable for associative memories and pattern recognition.
The study found functionally related genes were co-expressed across six distantly related organisms, including bacteria, yeast, and human. The researchers discovered conserved transcription modules that provide clues to the evolutionary building blocks generating diversity in cells.
Researchers Terrence Sejnowski and Simon Laughlin argue that the human brain operates as a highly efficient hybrid device capable of making sophisticated computations. The brain's long-distance communication systems have been optimized for energy efficiency through millions of years of evolution.