(logo) Natural Genesis (logo text)
A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
Table of Contents
Genesis Vision
Learning Planet
Organic Universe
Earth Life Emerge
Genesis Future
Recent Additions

A. A Familiar Ecode: An Ecosmome to Geonome Complementary Endowment is Found Everywhere

Almeira, Joaquin, et al. Tricritical Behavior in a Neural Model with Exitatory and Inhibitory Units. arXiv:2207.02320. Researchers in Argentina and Italy including Dante Chialvo add further evidence for nature’s wide preference to seek and reside at such a sweet poise state between more or less relative coherence.

While the support for the relevance of critical dynamics to brain function is increasing, there is less agreement on the exact nature of the advocated critical point. Thus, a considerable number of theoretical efforts address which mechanisms and what transitions can be exhibited by neuronal networks models. The present work describes the effect of incorporating a fraction of inhibitory neurons on the collective dynamics. As we show, this results in a tricritical point for highly connected networks.

Antonello, Priscella, et al. Self-organization of In Vitro Neuronal Assemblies Drives to Complexity Network Topology. eLife. 11/e74521, 2022. Federal University of Sao Paulo, and Indiana University neuroscientists including Olaf Sporns and John Beggs post a sophisticated technical and theoretic study about innate cerebral tendencies to preferentially give rise to an optimum intricacy of parts and wholes. Our cognitive abilities thus organize themselves from the earliest get go for learning, communication and sage integrity to our retrospect global facility.

Activity-dependent self-organization plays a vital role as it underlies connectivity patterns in neural circuits. By combining neuronal cultures, network neuroscience methods and information theory, we can study how complex network topologies emerge from local interactions. We found that the number of network links grew over the course of development, shifting from a segregated to a more integrated architecture. In agreement with previous in silico and in vitro studies, a small-world modular format was detected by way of strong clustering among neurons. These findings leverage new insights into how neuronal effective networks relate to how neuronal forms and functions organize themselves. (Abstract excerpt)

Our findings suggest that plasticity and homeostatic mechanisms drive the emergence of segregated and integrated architectures in developing effective networks by reinforcing synchronized spontaneous activity. These processes induce a predictive relationship between the spike trains of pre- and post-synaptic neurons that produces reliable effective network patterns, such as the clustering of low firing rate neurons, the formation of modules, and the connection of high firing rate neurons across modules, integrating them. Such mechanisms, despite being independent of the exact physical location of each neuron, showed to have a preference to link neurons that are closer to each other. Finally, this organization involves a level of randomness, but it is greatly dependent on the heterogeneity of the firing rate of neurons. (Conclusion)

Anwar, Sayeed, et al. Self-organized bistability on globally coupled higher-order networks.. arXiv:2401.02825. In these 2020s complex system studies proceed to delve deeper and uncover vital new features. Here Indian Statistical Institute, Kolkata, KU Leuven, Belgium and Immanuel Kant Baltic Federal University, Kaliningrad neuroscientists including Nikita Frolov add a significant notice of nature’s tendency to seek and reside at an optimum state between two opposite but reciprocal modes of being. This middle way poise achieves a bilateral resonance rather than a total fixation on one or the other poles.

Self-organized bistability (SOB) stands as a critical behavior for the systems adjusting themselves to this dynamic balance. Recently, SOB has been found in a scale-free network as a recurrent transition to a global synchronization. Here, we extend the theoretical boundaries to a higher-order network. We use statistical data from spontaneous synchronized events to demonstrate the crucial role SOB plays in initiating and terminating temporary synchronized events. (Excerpt)

Multistability is a prevalent phenomenon observed in both man-made and real-world systems, characterized by consistent stable states. This poise plays a crucial role in regulating processes in living systems operating on different scales, from organ system interactions to neural synchronization. Typically, in normal conditions, neural activity in the brain demonstrates distinct power-law (scale-free) distributed avalanches, which is indicative of underlying self-organized criticality. (1)

To summarize, here we have reported a theoretical investigation of SOB by a globally coupled Kuramoto network with higher-order interaction. Our study reveals that the interplay between consumption and recovery rates results in a region of critical bistable dynamics. Within this regime, the critical dynamics allow for a self-sustaining toggling from the state of incoherence to coherence. (8)

Aschwanden, Markus and Manuel Guedel.. Self-Organized Criticality in Stellar Flares. arXiv:2106.06490. Solar and Stellar Astrophysics Laboratory, Palo Alto and University of Vienna (search MA) researchers report an even more robust propensity for all manner of natural phenomena such as active sunny stars to hold to scale-invariant self-similarities. Of especial note is a persistent arrival at this middle way balance. See also The Universality of Power Law Slopes in the Solar Photosphere by MA and Nived Nhalil at 2211.08323 for later work.

What does it mean when we say that stellar flares exhibit self-organized criticality? If stellar flares would occur by pure random processes, their size distribution would fit a Poissonian or Gaussian function. In contrast, the fact that stellar flares are consistent with power law functions strongly supports the evolution of nonlinear (exponential-growing) energy dissipation processes, triggered by local fluctuations that exceed a system-wide threshold. The statistics of physical parameters in such nonlinear energy dissipation processes can be expressed with volumetric scaling laws, characterized by the scale-free probability, the (spatial) fractal dimension, classical diffusion, and the flux-volume scaling. (11)

Autorino, Camilla and Nicoletta Petridou. Critical Phenomenon in Embryonic Organization. Current Opinion in Systems Biology. Vol. 31, September, 2022. European Molecular Biology Laboratory, Heidelberg University biochemists describe an historic conceptual advance in this regard by a novel ability to perceive and quantify self-organized criticalities in effect during prenatal development. As the quotes say, even life’s earliest formative phases can be traced to a deep physical source. See also Programmed and Self-Organized Flow of Information during Morphogenesis by Claudio Collinet and Thomas Lecuit in Nature Reviews Molecular Cell Biology (22/245, 2021).

For a concurrent paper (these insights seem just now possible) see Animal Synchrony and Agent’s Segregation by Laura Schaposnik, et al (arXiv:2212.07505). We also note a 1995 paper Evolution as a Self-Organized Critical Phenomena by Per Bak, et al (PNAS, 92/5219) in response to initial their notices of SOC theories. Some three decades later might it be again considerable, by way of our global collaborations, to understand how we all arose from a conducive ecosmos.

The physics of critical points lies behind the organization of various complex systems, from molecules to ecosystems. Several functional benefits emerge when operating at a “criticality” state. Here, we propose that introducing this dynamic concept in developmental biology may explain remarkable features of embryonic development, such as collective behavior and fitness. Recent interdisciplinary work has studied embryogenesis within statistical physics frameworks and found that biochemical and biomechanical processes do indeed resemble critical phenomena. In regard we discuss gene expression, cell differentiation, and tissue mechanics whereby a critical balance can foster an optimum organization. (Abstract)

Many natural phenomena are considered to operate via similar mechanisms. Evolutionary systems, bird flocks, epidemic spreading, immune systems, intelligent behavior, neuronal activity, and gene expression are only a subset of biological phenomena that although display differences in their physical characteristics, such as size, shape, and material composition, also express remarkable similarities in their mode of organization and function. A major commonality is that they can be described using general frameworks of statistical physics by way of critical points in phase transitions (PTs). Criticality is traced from unique mathematical traits using PTs theories which can be studied via dynamical systems frameworks or statistical mechanics. Given that these traits are universal and largely independent, it is considered that such a deep theoretical basis can somehow wholly serve to explain the behavior of various critical occasions across nature. (1)

This search for a unifying theory of natural complexity an active research direction in physics. Why are biologists becoming more and more interested in it? Living systems appear to “know” how to reproducibly develop, as well as evolve and adapt to environments. One hypothesis is that their fitness is gained at criticality, since operating close to a critical point can balancing between functional regimes, so the system may efficiently shift between them. (2) The natural physics to seek and reside at a critical juncture can even be seen, by our work, to underlie embryo development, ranging from gene expression and cell differentiation, to tissue mechanics and morphogenesis. (5)

In conclusion, the developing embryo exhibits complex physical traits, which biologists attribute to the numerous mechanochemical interactions. Biology, however, shows that development needs to be approached as a whole, as a critical system. By utilizing statistical physics, scientists will be able to bridge theory and experiments to address the functional role of criticality in embryo development. (6)

Barjuan, Laia, et al, Laia. et al. Optimal navigability of weighted human brain connectomes in physical space. arXiv:2311.10669. University of Barcelona system physicists contribute a further finesse of cerebral interactions which are specifically seen to improve the clear conveyance of information. Their work proceeds on to the notice of a persistent tendency to reach a middle balance point for this optimum performance. So once again it seems this common propensity to attain a best situation this way indeed appears as nature’s universal poise from quanta to astral to neural realms.

The architecture of the human connectome supports communication protocols relying on distances between brain regions or on the intensities of connections. However, these modes do not combine information about the two or reaches full efficiency. Here, we introduce a spectrum of routing strategies that joins link weights and embedded connectomes to transmit signals. We found that there is an intermediate region, a sweet spot, in which navigation achieves maximum communication. This phenomenon is robust and independent of the configuration of weights. Our results indicate that the intensity and topology of neural connections and brain geometry interplay to boost communicability to best support responses to stimuli. (Abstract)

In this work, we introduce a theoretical framework for the interplay between spatial distances and link weights in neural communication processes, and apply it to human connectomes to identify the distinctive roles played by the hard and soft wirings. The former describes the spatial distances in geometric embeddings, and the latter entails the weights of links between connected brain regions. We found that there is an intermediate region in this spectrum, a sweet spot, in which connectomes become maximally navigable and achieve full communication efficiency. (1)

Barzon, Giacomo, et al. Criticality and Network Structure Drive Emergent Oscillations in a Stochastic Whole-Brain Model. Journal of Physics: Complexity. 3/3, 2022. After some years into the 21st century, and original notices in the 1980s and before, by these 2020s University of Padova systems theorists including Samir Suweis can now reach a deep theoretical and empirical quantification of a critically-poised universality across the ecosmos to cerebral capacities so to provide a dynamic middle-way optimum poise between more or less, closed and open coherence. See Heterogeneity Extends Criticality by Fernanda Sanchez-Puig, et al herein for another 2022 instance.

Overall, here we have shown in detail how network structure plays a fundamental, yet sometimes poorly understood, role. Therefore, we believe that our work will serve as a baseline for future analytical efforts in explaining the nature of the observed transition under more relaxed assumptions, e.g., in the presence of a non-trivial distribution of weights and different topologies, to further understand the influence of both in the emergence of critical features in the human brain. Possible approaches may include the use of heterogeneous mean-field methods as done in the study of epidemic spreading or annealed network approximations. All in all, we believe that our findings are a further contribution to the still puzzling ‘critical brain hypothesis’. (11)

Beggs, John. The Cortex and the Critical Point: Understanding the Power of Emergence.. Cambridge: MIT Press, 2022. The veteran Indiana University neurophysicist has been studying these cerebral propensities for some 15 years. As a lead authority, into the 2020s the evidence is strong enough that a collegial book length treatment is possible. As this section and site reports, it is now well founded in both theory and test that brains seek, prefer and reside at this locus of optimum performance. As the case broadly builds, this phenomenal principle can be seen as nature’s common choice from celestial, quantum and material realms, life’s genetic and organic development and onto human societies. The work has since become newsworthy such as When Does the Brain Operate at Peak Performance? by JB, see quote (Quanta, January 31, 2023) See also, e.g., Fosque, L., et al. Quasicriticality Explains Variability of Human Neural Dynamics across Life Span. arXiv:2209.02592 with JB as a coauthor.

But if I were to try to explain in a paragraph, I would say this - it is like when water, at just the right pressure, changes into steam. For a moment it is both a flowing liquid and individual molecules zipping around in the air. Neurons can act this way too, firing synchronously then breaking of to improvise by themselves. Just at this transition. They are both independent and interdependent with all other neurons. Right here at what we will call the critical point, information flows easily, computations are most facile, and the brain is very sensitive to inputs. Here intricate patterns of waves, oscillations, and avalanches of activity arise most readily. (1)

Most broadly, there are two main consequences for a neural network that operates near the critical point. First, it will have scale-free properties which are linked to optimal information processing. Second it will exhibit universality, as we explored in this chapter. (105)

Over the last few decades, an idea called the critical brain hypothesis has been helping neuroscientists understand how the human brain operates as an information-processing powerhouse. It posits that the brain always teeters between two phases of activity: a relative quiet, less orderly side, and a more active, attentive mode,. The hypothesis predicts that between these conditions, at a “sweet spot” known as the critical point, the brain has an ideal balance of variety and structure so as to produce the most complex and information-rich patterns. (Beggs, Quanta)

Beiro, Mariano, et al. Signs of Criticality in Social Explosions. arXiv:2305.01944. University of Buenos Aires, Singapore University of Social Sciences, Nanyang Technological University, Singapore, Complexity Science Hub Vienna (Stefan Thurner) and International Valencian University, Spain systems theorists describe a unique, extensive project which has found that even this hyper-active, multi-faceted public intensity tends toward, exhibits and is distinguished a self-organized ciriticalities which endow near-optimum communicative conditions.

The success of an on-line movement could be defined by a shift to off-line street actions of protests. One may view these macro-behaviors as spontaneous interactions, which will give rise to common simplifications on several statistics. Here, we go on to observe of signs of criticality in such dynamic public demonstrations. Namely, the same power-law exponents are found whenever the distributions are calculated, either due to the same windows-time or the number of hashtags. By means of network arrays, we show that the systems take on two correlations with high or low values of modularity. The importance of analysing systems near a critical point is that any small disturbance can escalate and induce large-scale -- nationwide -- chain reactions. (Abstract excerpt)

Butler, Travis and Georgi Georgiev. Self-Organization in Stellar Evolution: Size-Complexity Rule. arXiv:2202.02318. Assumption University, Worcester, MA physicists (search GG) post a strong notice to date of nature’s deep propensity to organize itself into dynamic, invariant states everywhere. In this astral case, how stars form is seen as an another exemplary result. An historic importance then becomes an implied mathematic source code which exists in generative effect independently of any certain scale or instance. In regard, such recurrent features in kind from celestial to cultural phases are cited as a 2022 presence and proof of a true universality. As our Earthuman epic reaches a consummate moment, this entry, A Physics Perspective on Collective Animal Behavior (N. Ouellette 2022), and many others are coming altogether so to reveal and discover a cocreative uniVerse to wumanVerse familial genesis.

Complexity Theory is highly interdisciplinary, therefore any regularities must hold on all levels of organization, independent on the nature of the system. An open question in science is how complex systems self-organize to produce emergent structures and properties by way of non-equilibrium thermodynamics. There is a quantity-quality transition which holds across natural systems, which is often known as the size-complexity rule. We apply this standard to stars to compare them with other complex systems so to find universal patterns of self-organization independent of the substrate. This rule goes under different names in different disciplines and systems of different nature, such as the area-speciation rule, economies of scale, scaling relations in biology and for cities, and many others. (Abstract excerpt)

Castro, Daniel. et al. In and Out of Criticality? State-Dependent Scaling in the Rat Visual Cortex. PRX Life. 2/023008, 2024. In this new Physical Review journal, eight Universidade Federal de Pernambuco, Recife, Brazil and University of Minho, Braga, Portugal system physicians add a latest appreciation of how our cerebral processes indeed do seem to bounce around a best performance balance.

A presumed proximity to a critical point is believed to endow the brain with scale-invariant statistics to confer advantages for information processing, storage, and transmission. To assess scaling and cortical states, we apply a renormalization group method to data recordings from the anesthetized rat's visual cortex. Under anesthesia, cortical states shift across synchronization levels defined by population spiking rate variability. We find that scaling signatures only appear as spiking frequency surpasses a threshold. Our results suggest that a wide range of cortical states corresponds to small deviations around a critical point, with the system fluctuating in and out of criticality, spending roughly three-quarters of the experiment duration within a scaling regime. (Abstract excerpt)

Chen, Lei, et al. Metallic Quantum Criticality Enabled by Flat Bands in a Kagome Lattice. arXiv:2307.09431.. As the quotes convey, Rice University Center for Quantum Materials, Vienna University of Technology and SUNY Stony Brook physicists including Jennifer Cano and Silke Paschen delve deeply into these substantial realms and scientific features to reveal still another exemplary statement of nature’s optimum self-organized balance. See also Quantum Criticality Enabled by Intertwined Degrees of Freedom by this group for a broader version in PNAS. (120/30, 2023.)

Strange metals arise in a variety of platforms for strongly correlated electrons, ranging from the cuprates, heavy fermions to flat band systems. We study a Hubbard model on a kagome lattice so as to construct a Kondo lattice description. We identify a Mott transition with a quantum critical point at which quasiparticles a strange metallicity emerges. Our theoretical work opens up a new route for realizing beyond-Landau quantum criticality and novel quantum phases that it nucleates. (Excerpts)

For the first time, we have theoretically realized a metallic quantum critical point enabled by the flat bands of a kagome lattice, with properties that parallel the well established strange metallicity of heavy fermion systems. (28) Our findings also reveal new interconnections among a variety of correlated electron platforms, and point to new platforms for beyond-Landau quantum criticality. (30)

1 | 2 | 3 | 4 | 5 | 6  Next