Vienna special issue: Molecular machines

Special Issue on Hybrid Learning Machines

The concept of Machine Intelligence (MI) is complex, and thus many theories and definitions have emerged recently. Last few decades have seen a new era of machine intelligence focusing on the principles, theoretical aspects, and design methodology of algorithms gleaned from nature and biology. Examples are artificial neural networks inspired by mammalian neural systems, evolutionary computation...

Special Issue

Special issue on molecular and cellular cognition.

The editors of Learning & Memory are pleased to commit this annual special issue of the journal to the topic of Molecular and Cellular Cognition for a fourth consecutive year. The nine review articles, which were invited contributions from established leaders in the field, focus on the molecular, cellular, and behavioral processes underlying learning and memory. In particular, this special issu...

Special issue on echo state networks and liquid state machines

Seeking plausible models for brain computation has been a continuing effort in neuroscience, computer science, biophysics and machine learning. Quite generally speaking, there are two routes toward understanding brains. In a bottom-up way, one can attempt to re-create artificial brain structures from empirical observations, whose emerging dynamics are then studied by simulation, searching for d...

Quo Vadis Abstract State Machines? J.UCS Special Issue

In introducing this special ASM issue of J.UCS we point out the particular role this Journal played in the short history of the ASM method and add some reflections on its current status. 1 J.UCS and the ASM Method The Journal of Universal Computer Science has marked some important steps of the development of the Abstract State Machines (ASM) method for a rigorous design and the mathematical ana...