Powerful ultrastructural tools are providing new insights into neuronal circuits, revealing a
wealth of anatomically‐defined synaptic connections. These wiring diagrams are …

In recent years, the analysis and modeling of networks, and also networked dynamical
systems, have been the subject of considerable interdisciplinary interest, yielding several …

Victor Hugo once wrote “Greater than the march of mighty armies is an idea whose time has
come”. Complexity science is not a new idea, but in 2017 its time has surely come in relation …

Despite recent interest in reconstructing neuronal networks, complete wiring diagrams on
the level of individual synapses remain scarce and the insights into function they can …

Through the success of artificial neural networks (ANNs) in different domains, intense
research has been recently centered on changing the networks architecture to optimize the …

Due to computational complexities of artificial neural networks (ANNs), there is an
increasing demand for third parties and MLaaS (machine learning as a service) to take …

Neural networks are supposed to recognise blurred images (or patterns) of N pixels (bits)
each. Application of the network to an initial blurred version of one of P pre-assigned …

Increased efforts in the assembly and analysis of connectome data are providing new
insights into the principles underlying the connectivity of neural circuits. However, despite …

The spatial and temporal dynamics of many farm animal diseases depend both on disease
specific parameters and on the underlying contact structure between farms. Whilst many …

The neuronal connectivity dataset of the nematode Caenorhabditis elegans attracts wide
attention from computational neuroscientists and experimentalists. However, the dataset is …