Abstract

We reflect upon quantification in biology in two ways. First, from a sensory scientific perspective, we address theories and methods for studying sensation, perception, and cognition. Sensory science concerns action of the human senses, which are not passive receivers but operate in an active and fundamental way for human beings in various social and environmental contexts. In the past one could only handle one-to-one relationships within a univariate framework. Today we have tools to capture complexity closer to real world situations. Thus, the second perspective is rooted in multivariate thinking and modeling tools. Relying mainly on soft modeling-exploratory methods, such as partial least squares regression, we claim that quantification in sensory biology in the future should be met with a dialectic view that simultaneously exploits the two perspectives.