We assume that thinking incorporates the active manipulation of mental contents. Therefore a key question in human thinking is how those contents were encoded, retrieved stored and manipulated.
A further question is how our neural systems decide whether a perceived object belongs to a category or not, whether it is a new an unfamiliar object, or old and well known. We are interested in the basic neural mechanism
- that at work when we categorize objects,
- that is when we decide whether an object belongs to a particular category.
We propose a model that explains the robustness, fastness, and flexibility by morphing processes that mimic mathematical topological transformations.
We assume that thinking incorporates the active manipulation of mental contents. Therefore a key question in human thinking is how those contents were encoded, retrieved stored and manipulated.
A further question is how our neural systems decide whether a perceived object belongs to a category or not, whether it is a new an unfamiliar object, or old and well known. We are interested in the basic neural mechanism
- that at work when we categorize objects,
- that is when we decide whether an object belongs to a particular category.
We propose a model that explains the robustness, fastness, and flexibility by morphing processes that mimic mathematical topological transformations.

