Each node in a wireless multi-hop network can adjust the power level at which it transmits and thus change the topology of the network to save energy by choosing the neighbors wit...
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Background: Linking high-throughput experimental data with biological networks is a key step for understanding complex biological systems. Currently, visualization tools for large...
Ming Jia, Suh-Yeon Choi, Dirk Reiners, Eve Syrkin ...
Complex networks have been characterised by their specific connectivity patterns (network motifs), but their building blocks can also be identified and described by node-motifs—...
Christoph Echtermeyer, Luciano da Fontoura Costa, ...
We study binocular rivalry in a competitive neural network with synaptic depression. In particular, we consider two coupled hypercolums within primary visual cortex (V1), represent...