Abstract. A real-time, large scale, leaky-integrate-and-fire neural network processor realized using FPGA is presented. This has been designed, as part of a collaborative project,...
Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, ...
Modeling molecular interactions in biological networks is important from various perspectives such as predicting side effects of drugs, explaining unusual cellular behavior and dr...
In this paper, we present the index-permutation (IP) graph model, and apply it to the systematic development of efficient hierarchical networks. We derive several classes of inter...
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...
In the field of biotechnologyand medicineit is of interest to modeland simulate metabolicprocesses. The usual methods to model metabolic pathwaysare chemicaldescriptions anddiffer...