Simulations using a neural network model of the thalamocortical loop were performed. The simulations were to show whether random stimulation of the model could account for maintenance of neuronal assemblies (self-repair). Three simulations were done: (a) self-repair with continuous stimulation, (b) self-repair with 40 Hz frequency stimulation, and (c) self-repair with 60 Hz frequency stimulatio...

Self-repair is a key area of functionality in overlay networks, especially as overlays become increasingly widely deployed and relied upon. Today’s common practice is for each overlay to implement its own self-repair mechanism. However, apart from leading to duplication of effort, this practice inhibits choice and flexibility in selecting from among multiple self-repair mechanisms that make dif...

Self-engineering (SE) systems aim to autonomously respond a loss of function and take action return functionality. Recently there have been number demonstrations SE using multi-rotor drones inspect repair (such as repairing potholes), though many these do not meet all the requirements system. This research identifies explores new ideas for where could be utilised. Five were successfully identif...

Particles and um-s used in spontaneous Estonian speech as initiators of different types of repair are analysed. Our model and typology of repair based on conversation analysis is introduced. Three main types of repair and particles used to initiate those are described: prepositioned self-initiated selfrepair, postpositioned self-initiated self-repair (addition, substitution, insertion and aband...