The inevitable increase in the diversity of information flows, their processing and visualization methods exacerbates interdisciplinary problems. They lead to cognitive bias, which limits the potential of IT and intelligent learning systems. Therefore, the aim of the work is to expand interdisciplinary relations through the use of complementary space-time signatures and patterns of functioning of self-organizing objects. The object of research is the learning environment, the functioning of which is determined by the interdisciplinary ergonomic laws of mutual adaptation and transformation. They are a generalization of the extreme principles of physics, as well as the principles of cybernetics, synergetics, computer science, etc. The cognitive visualization of the space-time structure of fractal signals of various nature in the form of signatures and patterns is carried out. The basis of visualization – interdisciplinary – approach, methods, concepts and criteria. This allows us to identify hidden patterns of functioning of self-organized dynamic systems. The use of signatures and patterns of fractal signals of self-organized objects will contribute to the development of critical thinking and intuition in learning.