Nature of Neuronal Organization: Structural Agnosticism and Its Origin

The domain of cognitive science is handicapped by two major dilemmas, namely, the lack of models linking neurology and cognitive science and the lack of structuralism within each of these domains. In this chapter, we will look at the structuralism of neurology. Even within the domain of neurology, there are two phenomena that prevent any theoretical model from being formulated. First, there is a phenomenon of network-independent manifestation of different cognitive functionalities, which is evident from cognitive plasticity. The second phenomenon that defies formalization is the structural agnosticism of neuronal networks. Neuronal networks that we have studied so far do not seem to conform to any particular architectural template. This inference points toward a lack of naturally selected architecture. Apparently, random neuronal migration during the developmental stages of the brain excludes any possibility of genomic control in the configuration of the brain. Therefore, there is an imperative need for a structural template of neuronal networks that explains how different cognitive functionalities manifest from almost identical neuronal networks and how this amorphous neuronal organization manifests cognitive functionalities per se. In this chapter, we will outline a topological model that overcomes these dilemmas. The model employs a higher dimensional manifold in which cognitive faculty operates from multiple dimensionalities that exist in the involuted form. This notion of involuted dimensions successfully explains cognitive plasticity, structural agnosticism of neuronal architecture, and neuronal migration under genomic control.