As the number of information in the Internet constantly increases and the complexity of systems rapidly grows, locating and manipulating complex data has become a difficult task. W...
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
This research addresses a major gap in our conceptual understanding of synaptic and brain-like network dynamics. Over the course of several years we have designed and implemented ...
Frederick C. Harris Jr., Mark C. Ballew, Jason Bau...
: A majority of biodiversity research projects depend on field recording and ecology data. Therefore it is important to provide a seamless and transparent data flow from the field ...
Stefan Jablonski, Alexandra Kehl, Dieter Neubacher...
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...