One of the central problems in computational neuroscience is to understand how the object-recognition pathway of the cortex learns a deep hierarchy of nonlinear feature detectors. Recent progress in machine learning shows that it is possible to learn deep hierarchies without requiring any labelled data. The feature detectors are learned one layer at a time and the goal of the learning procedure...

Story-telling has been a means of bequeathing knowledge since aeons. Whereas the idea of the story-telling remains unaltered, the world around undertakes continuous changes. New media, new technologies and devices, new ways of communication define a new format of the story-telling. This paper proposes a new non-linear version of mobile story-telling in the emerging ubiquity of knowledge sharing...

1. Introduction. There has recently been an increase in interest in the role of models in science, of which the Pavia workshop on model-based reasoning is a manifestation. One result of this increased attention has been a proliferation of views on what models are and how they are used in science. In this presentation I will develop a unified interpretation of the nature and role of models in sc...

What is the set of possible values of a measurement error? In the majority of practical applications, an error is caused not by a single cause; it is caused by a large number of independent causes, each of which adds a small component to the total error. As a result, we get a geometric description of the area of possible values of error. In this paper, we formulate the known result (for 1-dimen...

T N-methyl-D-aspartate (NMDA)type glutamate receptor is one of three major classes of receptors for glutamate, the principle excitatory neurotransmitter in the central nervous system. It plays a key role in learning and in the formation of memories by acting as a ‘‘coincidence detector’’ that initiates changes in synaptic strength that lead to the formation of new neural networks (1). It is als...