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VII. Our Earthuman Ascent: A Major Evolutionary Transition in Individuality

3. A Complementary Brain and Thought Process

Van Lancker, Diana. Personal Relevance and the Human Right Hemisphere. Brain and Cognition. 17/1, 1991. An earlier insight that a person’s self-identity and significance is based in and maintained by the holistic right side of the brain.

Varley, Thomas and Jousha Bongard. Evolving higher-order synergies reveals a trade-off between stability and information integration capacity in complex systems. . . University of Vermont system theorists describe new research findings about a further dichotomous situation in cerebral cognizance, as the title says, between more or less capabilities to process information content. See also Partial entropy decomposition reveals higher-order information structures in human brain activity by T. Varley, et al in PNAS (120/30, 2023) and Synergistic information supports modality integration and flexible learning in neural networks by Alexandra Proca, et al arXiv:2210.02996, for more context.

There has recently been much interest in how "higher-order" structures occur in complex systems. This "emergent" organization is found in many natural and artificial systems, although we lack a unified understanding. Here, we use evolutionary optimization by Boolean networks with redundancies or statistical complexity. We find that high-synergy systems are more chaotic, but with a capacity to integrate information. In contrast, evolved redundant modes are stable, but with little ability to integrate information. Finally, the complex systems that balance integration and segregation show both chaosticity and stability, with a greater capacity to integrate information while being more stable. (Excerpt)

Vingerhoets, Guy. Phenotypes in Hemispheric Functional Segregation. Physics of Life Reviews. Online June, 2019. A Ghent University neuropsychologist contributes an advanced explanation for life’s cerebral, cognitive allotment into complementary, near/far, below/above, dense/sparse reciprocities. See also a commentary Hemispheric Functional Segregation as By-products of the Evolution of Lateralization Population Structure by Giorgia Vallortigara.

Directional hemispheric dominance has been established for numerous cognitive functions in the human brain. Strong population biases with some functions favoring the left and others the right hemisphere generated the popular idea of an advantageous prototypical division of labor, molded by evolution and genetically blueprinted. As most lateralization studies focused on a single function at a time, little is known about the relation between asymmetric and atypical segregation in healthy individuals. I summarize the literature about behavioral and neural consequences and the evidence for intermediate phenotypes in brain functional segregation that could bridge behavioral and genetic data. (Abstract)

Vogel, Jennifer, et al. Cerebral Lateralization of Spatial Abilities. Brain and Cognition. 52/197, 2003. An extensive literature survey finds that for many individuals and situations, the right hemisphere is more dominant for spatial visualization and tasks. Males tend to primarily use the RH for this purpose while females rely more on an integration of both hemispheres.

Von Muller, Albrecht. The Logic of Constellations: A Complementary Mode of Thinking that is Crucial for Understanding How Reality Actually Takes Place. Han, Shihui and Ernst Poppel, eds. Culture and Neural Frames of Cognition and Communication. Berlin: Springer, 2011. The director of the Parimenides Center for the Study of Thinking, and guiding mentor for the project, offers another take on the evident presence of distinct temporal and spatial phases of perceptive cognition. With some jargon, in cerebral evolution a LOC integral mode precedes a RMC (see below) detail stage, which beg prior and later right and left hemispheres but not mentioned. If such a “self-referential autogenesis” could be joined in reciprocal global and local unity it would reveal the meaningful “actual taking place of reality.” May we again notice, both in this paper and the whole book, by whatever approach, the ever present creative role of these genetic, gender archetypes?

It is argued that in human thinking there exist two basic modes of connecting mental content. One is the rather well-understood and well-formalizable “ratio-morphic concatenation” (RMC). This mode corresponds to the factual aspect of reality and it lends itself for precise analysis. Most of the history of “logic” focused on this mode of thinking. There also exists, however, a second, phylogenetically much older, less precisely definable mode of connecting mental content. For this mode, the notion “logic of constellations” (LOC) is introduced. Firstly, there is a process in which the different components of a constellation interpret each other mutually, and thus unfold their specific meaning in their actual constellation. Secondly, there emerges, out of all these “bilateral” processes of semantic unfolding, a global, overarching “picture” or “meaning”. This emergent “big picture” is meaningful, but never well-defined. Thirdly, the overarching picture starts to impact – in a kind of top-down re-interpretation – on its own constituents and sharpens their meaning once again. (Abstract, 199)

Wolf, Maryanne. Proust and the Squid: The Story and Science of the Reading Brain. New York: Harper Perennial, 2007. The Tufts University developmental psychologist achieves a unique study of how cerebral faculties have adjusted through time to discern and live in a broadly literal environment. From the simple squid with a few axons to the dense writings of Marcel Proust, neural capacities have adapted in kind. An historic shift occurred from Chinese and Sumerian logographic symbols to later alphabetic detail. Individual brains, as they develop, are seen to follow a somewhat similar path. The work of her Center for Reading and Language to study difficulties with reading is then reported. What may be gleaned, akin to Laura Otis’ Rethinking Thought (2015) and recent neuroscience findings (e.g. Nina Kraus) is that conversation, writing, and reading are an interplay of both attention to letters and words, along with their holistic rhythms. Look for her new book with Stephanie Gottwald What It Means to Read: A Literacy Agenda for the Digital Age (Oxford, 2016).

Wray, Alison. Formulaic Language and the Lexicon. Cambridge: Cambridge University Press, 2002. The Cardiff University linguist reports on a decade of her own research, along with extensive literature studies, from which arises a dual, bicameral view of the composition of language and its cerebral basis. Formulaic means the presence of retained, holistic amalgams, clichés, or chunks of words and phrases that can be automatically drawn upon. This occurs in contrast to instant grammatical processing which continuously joins discrete words. What Wray then achieves is to show how these complementary modes align with the right and left brain hemispheres. Furthermore, these propensities tract and confirm a life long sequence from an initial gestalt phase up to two years of age, an analytical stage into the teens, and a potential adult whole brain balance. The left side employs a lexicon of single words, while the right stores formulaic word strings or sentences. Such properties in the realm of our speech and expression, I add, are another way to conceive human beings as a microcosm.

Zaidel, Eran and Marco Iacoboni, eds. The Parallel Brain. Cambridge: MIT Press, 2003. Reports on the importance of the corpus callosum, the fibrous midbrain area that connects left and right hemisphere. Its role in interhemispheric specialization is seen to develop similarly in evolutionary phylogeny and individual ontogeny.

Zhou, Shou, et al. Group-specific discriminant analysis reveals statistically validated sex differences in lateralization of brain functional network.. arXiv:2404.05781. University of Sheffield, UK and Beijing Normal University researchers provide a latest extensive technological neuroimage and graphic analysis of the real presence of complementary gender distinctions.

Lateralization is a fundamental feature of the human brain, whereof sex differences have been observed. Here, we study sex differences in the lateralization of functional networks as a dual-classification problem, consisting of first-order classification for left vs. right and second-order for male vs. female modes. For sex-specific patterns, we develop the Group-Specific Discriminant Analysis (GSDA) for first-order classifications. The evaluation of neuroimaging datasets shows the efficacy of GSDA in learning sex-specific models to achieve a significant improvement in group specificity over baseline methods. The major sex differences are in the strength of lateralization and the interactions within and between lobes. (Abstract)

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