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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
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VI. Life’s Cerebral Faculties Become More Complex, Smarter, Informed, Proactive, Self-Aware

2. The Evolution of Cerebral Form and Cognizance

Schmidt-Rhaesa, Andreas, et al, eds. Structure and Evolution of Invertebrate Nervous Systems. Oxford: Oxford University Press, 2016. This 750 page, 55 chapter tome by European and international neuroscientists is a comprehensive, consummate survey of this research field, which, it is said, was not possible until now. Many entries about classes such as Tardigrada, Brachiopoda, Cnidaria, Rotifera, Nemertea, and Scorpiones are interspersed with Perspectives on Evolution of Neural Cell Types (Detlev Arendt), The First Brain, Neural Systems Development, Evolution of Neurogenesis in Arthropods (Angelika Stollewerk), and The Origin of Vertebrate Neural Organization. As one may peruse this reconstruction by Anthropo Sapiens of the many creatures far and near from which we came, as the quotes broach, a constant theme emerges. From the earliest, originally complex, rudiments arose radiating homologies of forms and senses, a recurrent convergence leading onto vertebrate species. In regard, an evolutionary developmental gestation, lately reaching our global phase able to achieve this knowledge is once again clearly evident, just as Darwin’s day intimated.

Inescapably, the stunning presence in basal metazoans of cellular modules that belong to diverse cell types in the complex bilaterians implies that these modules are distributed over relatively few, hence multifunctional cell types. This means that metazoan ancestors likewise possessed few complex cell types, including early neural cells. Thus, metazoan cell type diversification started from multifunctional cells. (19) The transition from a few cell types with multiple functions in early metazoans to many cell types with specialized functions in animals implies that, at least in many cases, cell type evolution involved a differential distribution of functions and modules among emergent sister cells. This process has been referred to as a “segregation of functions” or “division of labor.” (20)

The circuit organization of the visual and olfactory system in insects and vertebrate brains is remarkably similar in various aspects. This is exemplified by the olfactory systems in Drosophila and mouse. Might evolutionary process of higher brain centres also have been present in the urbilaterian common ancestor? In extant invertebrates such as annelids and arthropods, a complex associative brain centre involved in learning and memory called the mushroom body, is found in the protocerebrum. In the vertebrate forebrain, the cerebral cortex and hippocampus developmental derivatives of the pallium, perform comparable associative learning and memory functions. Intriguingly, similar and possible homologous spatial patterns of gene expression are observed for a suite of conserve control genes in the developing mushroom body of the annelid Platyneresis and in the developing pallium of the mouse. A further homology has recently been suggested between the vertebrate basal ganglia and the arthropod control complex. (70-71)

Singer, Wolf. The Evolution of Culture from a Neurobiological Perspective. Levinson, Stephen and Pierre Jaisson, eds. Evolution and Culture. Cambridge: MIT Press, 2005. Advances in bipedal gait, labor-sharing societies, agriculture, and language, are accompanied by a ramification of brain size and anatomy. An expanded cerebral cortex by way of iterative, self-similar processes achieves a series of “metarepresentations” through symbolic communication and a sense of what others may think and know.

Smith-Ferguson, Jules and Madeleine Beekman. Who Needs a Brain? Slime Moulds, Behavioural Ecology and Minimal Cognition. Adaptive Behavior. Online January, 2019. University of Sydney neurobiologists contribute to current realizations that an evolutionary continuum is evident from invertebrate rudiments all the way to complex animals. For example, familiar “cognitive” behaviors are found in insects (bees can count) and even for prokaryote bacterial colonies. As our Evolutionary Intelligence section conveys, this rising, cumulative acumen seems quite traces a central track. See also Van Duijn, Marc. Phylogenetic Origins of Biological Cognition: Convergent Patterns in the Early Evolution of Learning by Marc van Duijn in Interface Focus (7/3, 2017) for a similar perception.

Although human decision making seems complex, there is evidence that many decisions are grounded in simple heuristics. Such heuristic models of decision making are widespread in nature. To understand how and why different forms of information processing evolve, it is insightful to study the minimal requirements for cognition. Here, we explore the minimally cognitive behaviour of the acellular slime mould, Physarum polycephalum, in order to discuss the ecological pressures that lead to the development of information processing mechanisms. By highlighting a few examples of common mechanisms, we conclude that all organisms contain the building blocks for more complex information processing. Returning the debate about cognition to the biological basics demystifies some of the confusion around the term ‘cognition’. (Abstract)

Stevens, Charles. An Evolutionary Scaling Law for the Primate Visual System and Its Basis in Cortical Function. Nature. 411/193, 2001. Allometric, scale-free laws likewise hold for neural development.

The conservation of these scaling relations raises the possibility that a similar basis for the scaling laws exists for all cortical areas. In this view, each cortical area would be provided with a map of some sort - perhaps one with very abstract quantities - and the job of the cortex would be to extract some characteristic of the map at each point that would be represented as a location code by the neurons in each map ‘pixel.’….A 3/2 power relation would result. (195)

Strausfeld, Nicholas. Arthropod Brains: Evolution, Functional Elegance, and Historical Significance. Cambridge: Harvard University Press, 2012. Arthropods represent the broad, ancient genera of invertebrate insects, arachnids, crustaceans, and myriapods. The senior University of Arizona neurobiologist offers a popular exposition on their precursor neural circuitry and surprising cognitive acumen.

In The Descent of Man, Charles Darwin proposed that an ant’s brain, no larger than a pin’s head, must be sophisticated to accomplish all that it does. Yet today many people still find it surprising that insects and other arthropods show behaviors that are much more complex than innate reflexes. They are products of versatile brains which, in a sense, think. Fascinating in their own right, arthropods provide fundamental insights into how brains process and organize sensory information to produce learning, strategizing, cooperation, and sociality. Nicholas Strausfeld elucidates the evolution of this knowledge, beginning with nineteenth-century debates about how similar arthropod brains were to vertebrate brains. This exchange, he shows, had a profound and far-reaching impact on attitudes toward evolution and animal origins. Many renowned scientists, including Sigmund Freud, cut their professional teeth studying arthropod nervous systems. The greatest neuroanatomist of them all, Santiago Ramón y Cajal—founder of the neuron doctrine—was awed by similarities between insect and mammalian brains. (Publisher)

Striedter, Georg. Building Brains that can Evolve: Challenges and Prospects for Evo-Devo Neurobiology. Metode. Vol. 7/Pg. 9, 2017. The Modern Synthesis combined population genetics with comparative morphology but had little or no use for embryology. The UC Irvine neuroscientist and author (search) scopes out a synthesis of bodily and cerebral evolutionary development within a 2010s sense of recapitulation between individual ontogeny and species phylogeny.

Evo-devo biology involves cross-species comparisons of entire developmental trajectories, not just of adult forms. This approach has proven very successful in general morphology, but its application to neurobiological problems is still relatively new. To date, the most successful area of evo-devo neurobiology has been the use of comparative developmental data to clarify adult homologies. The most exciting future prospect is the use of comparative developmental data to understand the formation of species differences in adult structure and function. An interesting «model system» for this kind of research is the quest to understand why the neocortex folds in some species but not others. (Abstract)

Striedter, Georg. Principles of Brain Evolution. Sunderland, MA: Sinauer, 2005. A University of California at Irvine neuroscientist gathers and explains many advances of the last two decades about how brains evolved from invertebrates to humans. An example is to compare two previously optional paths by which brains grow in size – “concerted” whereby distinct modules evolve in concert and size with each other, and “mosaic” whence regions enlarge (or shrink) independently. Upon observation, both modes are variously in effect, depending on the species and its environment. Another aspect is a steady scaling of brain size with body weight through evolution for fish, reptiles, birds, mammals and primates, suggestive of a generally emergent trend. Human brains are special because our late arriving, relatively large neocortex allows us to reconstruct and reflect upon these phenomena.

Striedter, George, et al. NSF Workshop Report: Discovering General Principles of Nervous System Organization by Comparing Brain Maps across Species. Journal of Comparative Neuroscience. 522/1453, 2014. A 27 person team of senior neuroscientists including Barbara Finlay, Hans Hofmann, Erich Jarvis, and Todd Preuss, outline a National Science Foundation program to study the common cerebral anatomy and intellect that is being found to distinguish every creature and kingdom. By our collaborative retrospect, life’s evolutionary development of body and brain is ever again becoming apparent as an embryonic gestation.

A 27 person team of senior neuroscientists including Barbara Finlay, Hans Hofmann, Erich Jarvis, and Todd Preuss, outline a National Science Foundation program to study the common cerebral anatomy and intellect that is being found to distinguish every creature and kingdom. By our collaborative retrospect, life’s evolutionary development of body and brain is ever again becoming apparent as an embryonic gestation.

Sumner-Rooney, Lauren and Julia Sigwart. Do Chitons have a Brain? New Evidence for Diversity and Complexity in the Polyplacophoran Central Nervous Systems. Journal of Morphology. 279/7, 2018. Oxford University and Queen’s University, Belfast neuroanatomists well quantify that these early invertebrates do indeed have a rudimentary semblance of a brain-like faculty. Thus life’s evolution can be seen to cerebrally and cognitively stir, sense and quicken from its original rudiments.

Three‐dimensional reconstructions from historic histological slides reveal unappreciated complexity in chiton nervous systems. The concentration and organisation of nervous tissue in the oesophageal nerve ring in eight species unambiguously qualify it as a true brain. (Editor)

Chitons are benthic marine molluscs found from the intertidal to abyssal depths across the globe. The class is characterised by eight articulated dorsal shell valves, which protect the foot, viscera and pallial cavity. Most species graze the substrata using a biomineralised radula. They lack cephalic eyes and tentacles, but possess an extensive network of sensory pores in the valves, of which some have evolved to form ‘shell eyes’ capable of true image formation. Their simple body plan (dorsal shell, ventral foot; anterior mouth, posterior anus) has been purported to reflect a plesiomorphic or ‘primitive’ state within mollusks. (1)

Thiebaut de Schotten, Michel and Karl Zilles, eds. The Evolution of the Mind and Brain. Cortex. 118/1, 2019. An introduction to this special issue with some 20 entries such as The Biological Bases of Color Categorization from Goldfish to the Human Brain, The Left Cradling Bias, Large Scale Comparative Neuroimaging, and The Hippocampus of Birds in a View of Evolutionary Connectomics.

Trianni, Vito, et al. Swarm Cognition: An Interdisciplinary Approach to the Study of Self-Organizing Biological Collectives. Swarm Intelligence. 5/1, 2011. Computer scientists review innate tendencies in such creaturely assemblies not only toward a composite organismic state, but also to achieve an effective group intelligence.

Basic elements of cognition have been identified in the behaviour displayed by animal collectives, ranging from honeybee swarms to human societies. For example, an insect swarm is often considered a “super-organism” that appears to exhibit cognitive behaviour as a result of the interactions among the individual insects and between the insects and the environment. Progress in disciplines such as neurosciences, cognitive psychology, social ethology and swarm intelligence has allowed researchers to recognize and model the distributed basis of cognition and to draw parallels between the behaviour of social insects and brain dynamics. In this paper, we discuss the theoretical premises and the biological basis of Swarm Cognition, a novel approach to the study of cognition as a distributed self-organizing phenomenon, and we point to novel fascinating directions for future work. (Abstract, 3)

Tschacher, Wolfgang and Jean-Pierre Dauwalder, eds. The Dynamical Systems Approach to Cognition. Singapore: World Scientific, 2003. Generally based on the synergetics approach, it highlights the work of Esther Thelen and Scott Kelso, among others. As a result, universal self-organizing systems are seen to exhibit their own “intentionality.” We quote form the publisher’s website.

The shared platform of the articles collected in this volume is used to advocate a dynamical systems approach to cognition. It is argued that recent developments in cognitive science towards an account of embodiment, together with the general approach of complexity theory and dynamics, have a major impact on behavioral and cognitive science. The book points out that there are two domains that follow naturally from the stance of embodiment: first, coordination dynamics is an established empirical paradigm that is best able to aid the approach; second, the obvious goal-directedness of intelligent action (i.e., intentionality) is nicely addressed in the framework of the dynamical synergetic approach.

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