Abstract

In this poster, I will address a set of related issues pertaining to learning systems at different levels of organization. The basic question is, how can a learning system store graded responses, i.e., any chosen response within a certain range? An obvious case is, Under which conditions can a neuron uphold any chosen graded rate of firing through its interconnection with another neuron? But the question should also be asked at the single-cell level, since it is possible that the ability to uphold any chosen rate of firing could be backed by a biochemical mechanism in the cell or its immediate environment. Finally, looking at forced unsupervised learning where exposure of a neural net to a stimulus contingency CS → UCS causes the net to react to CS as it originally reacted only to the UCS