Introduction to the Fractality Principle of Consciousness and the Sentyon Postulate
Recently, consciousness research has gained much attention. Indeed, the question at stake is significant: Why is the brain not just a computing device, but generates a perception from within? Ambitious endeavors trying to simulate the entire human brain assume that the algorithm will do the trick: as soon as we assemble the brain in a computer and increase the number of operations per time, consciousness will emerge by itself. I disagree with this simplistic representation. My argument emerges from the atomism paradox: the irreducible space of the consciously perceived world, the endospace is incompatible with the reducible and decomposable architecture of the brain or a computer. I will first discuss the fundamental challenges in current consciousness models and then propose a new model based on the fractality principle: the whole is in each of its parts. This new model copes with the atomism paradox by implementing an iterative mapping of information from higher-order brain structures to smaller scales on the cellular and molecular level, which I will refer to as fractalization. This information fractalization gives rise to a new form of matter that is conscious (bright matter). Bright matter is composed of conscious particles or units named sentyons. The internal fractality of these sentyons will close a loop (the psychic loop) in a recurrent fractal neural network (RFNN) that allows for continuous and complete information transformation and sharing between higher-order brain structures and the endpoint substrate of consciousness at the molecular level.
fractal recurrent network information sharing global workspace