Some applications of Bayesian decision theory to intelligent tutoring systems are considered. How the problem of adapting the appropriate amount of instruction to the changing nature of a student's capabilities during the learning process can be situated in the general framework of Bayesian decision theory is discussed in the context of the Minnesota Adaptive Instructional System (MAIS) . Two b...

In this paper we consider ReSuMe a Remote Supervised Method [1] for precise learning of spatiotemporal patterns of spikes in Spiking Neural Networks (SNN) [2, 3]. The learning method is dedicated to neuroprostheses control. Neuroprosthetic systems aim at producing functionally useful movements of the paralysed organs by stimulating muscles or nerves with the sequences of short electrical impuls...

This is a quick retrospective view back to the year 2010, summarizing the journal's experience and demonstrating submission statistics of the Journal of Radiology Case Reports.