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Displaying entries 31 through 45 of 51 found.

Life's Corporeal Evolution Develops, Encodes and Organizes Itself: An EarthWinian Genesis Synthesis

Bridges, Alice, et al.. Bumblebees socially learn behaviour too complex to innovate alone. Nature. March, 2024. Seven social biologists mainly at Queen Mary University of London including Lars Chittka demonstrate ways to extend life’s prevalent impetus for collaborative, informed societies all the way to invertebrate insects.

Culture refers to behaviours that are commonly learned and persist within a population over time. It has been found that animal culture can also be cumulative. Here we show that even bumblebees can learn from trained demonstrator bees to obtain food rewards, even though they fail to do so on their own. This suggests that social learning might permit the acquisition of behaviours too complex to ‘re-innovate’ through individual learning. (Excerpt)

Gorbonos, Dan, et al. Geometrical Structure of Bifurcations during Spatial Decision-Making. PRX Life. 2/1, 2024. In this new Physical Review journal, DG and Iain Cousin, MPI Animal Behavior, and Nir Gur, Weizmann Institute of Science add a further technical finesse about how creaturely movements keep their assemblage and perform so well. Rapid internal responses are seen to imply a statistical physics spin model along with an active particle coherence.

Animals must constantly make decisions on the move among multiple options. Here we model this process to explore how its dynamics accounts for branching trajectories exhibited by animals during spatial decision-making, and to provide new insights into spatiotemporal computation. Our analysis reveals the nature of the spontaneous symmetry breaking bifurcations in trajectory space and new geometric principles for spatiotemporal decision-making. This suggests that a non-Euclidean neural representation of space may be expected to have evolved across species in order to facilitate spatial decision-making. (Excerpt)

These results highlight the richness of this spin model, where movement through space is determined by spin-spin interactions, which are in turn dependent on the position of the animal or group with respect to the targets. The model has a broader theoretical physics perspective due to its coupling of equilibrium spin dynamics and propulsion of active-matter particles, as well as its connection to general research on decision-making in moving agents. (10)

Herbrich, Maxime, et al. Network nestedness in primates: a structural constraint or a biological advantage of social complexity?. arXiv:2402.13658. Université de Strasbourg, Utrecht University, University of Agder, Norway, University of Greenwich, UK, Leibniz Institute for Primate Research, Göttingen, University of Konstanz, Smithsonian Tropical Research Institute, Kyoto University, University of Lausanne, and Inkawu Vervet Project, South Africa animal behaviorists join field work with theoretic studies to conclude that external environs have a larger role than somatic or neural aspects.

This study investigates the prevalence of nestedness within primate social networks by its relationship with cognitive and structural factors. We studied 51 primate groups across 21 species to evaluate nestedness, modularity, neocortex ratio, and group size. We found a significant occurrence of this multiplex feature exceeding chance expectations. Our analysis showed little correlation with neocortex ratio or group size, which suggests a greater role for ecological factors in cognitive evolution. Overall, our research provides new insights into primate social network structures by way of complex interplays between network geometries. (Excerpt)

Enquist, Brian, et al. Scaling approaches and macroecology provide a foundation for assessing ecological resilience in the Anthropocene. Philosophical Transactions B. April, 2024. Senior environmental theorists BE, University of Arizona, Doug Erwin, National Museum of Natural History and Van Savage and Pablo Marquet, Santa Fe Institute make a case for wider perspectives as a better way to study, analyze and manage flora and fauna biotas because of their multiple complexities.

In the Anthropocene, intensifying ecological disturbances challenge our predictive capabilities for ecosystem responses. A macroecology of emergent statistical patterns in ecological systems can find consistent regularities in biodiversity and ecosystems by way of abundance, body size, geographical range, species interaction networks, or the flux of matter and energy. We suggest a conceptual and theoretical basis for ecological resilience that integrates macroecology with a stochastic diffusion approximation constrained by principles of biological symmetry. We show how our framework can quantify major disturbances and their extensive ecological ramifications. (Excerpt)

Life’s Cerebral Cognizance Becomes More Complex, Smarter, Informed, Proactive, Self-Aware

Reber, Arthur, et al. The CBC theory and its entailments: Why current models of the origin of consciousness fail.. EMBO Reports. 25/1, 2023. AR, University of British Columbia, William B. Miller, physician philosopher, Predrag Slijepcevic, University of Brunel, London and František Baluška, University of Bonn post their latest version of the CBC (Cellular Basis of Consciousness) which contends that sentient awareness is necessarily so pervasive and essential that its presence is evident at this basic metabolic level. See also All biology is cognitive information processing by WBM, et al in Progress in Biophysics and Molecular Biology. (182, September 2023) and The Sentient Cell: The Cellular Foundations of Consciousness by Arthur Reber, et al ( Oxford Press, 2023).

Accumulating scientific discoveries support the need for a revised Central Dogma to revise evolutionary biology's fixation on a Neodarwinian canon. Our reformulated version is that all biology is cognitive information processing based on the recognition that life is the self-referential state instantiated within the cellular form. Self-referential cells act to sustain themselves and to do so must be in harmony with their environment. Consequently, effective cellular problem-solving is information processing and management. As the internal measurement by cells of information is self-referential by definition, self-reference is biological self-organization, underpinning 21st century Cognition-Based Biology. (Excerpt)

Quin-Conroy, Josephine, et al.. Patterns of language and visuospatial functional lateralization and cognitive ability. Laterality. September, 2023. University of Western Australia linguists contribute a latest quantified affirmation of nature’s archetypal hemispheric preferences. Once again we wonder however these verse and vision complements could be known well enough such that they might apply to political parties.

For most individuals, language is predominately localized to the left hemisphere of the brain and visuospatial processing to the right. Evolutionary theories of lateralization suggest that this typical pattern is most common as it delivers a cognitive advantage. In contrast, deviations from the typical pattern may lead to poorer cognitive abilities. The aim of this systematic review was to assess the evidence for an association between patterns of language and visuospatial lateralization and measures of cognitive ability. (Excerpt).

University of Western Australia Just 10 minutes from Perth city, UWA is located on the banks of the Swan River on the land of the Whadjuk Nation. We have the privilege of being on sacred soil where Western Australian kaartdijin, or knowledge, began. It has been a place to gather and learn for tens of thousands of years by the world’s oldest continuous culture.

Youngblood, Mason. Language-like efficiency and structure in house finch song. Proceedings of the Royal Society B. April, 2024. As his bio below says, by way of the latest computational abilities, it is now possible to find generic similarities between avian twittering and the social network Twitter. The same mathematical formats thus seem to repeat themselves in kind across each and every conversational mode.

Communication needs to be complex enough to be functional while minimizing learning and production costs. Recent work suggests that the vocalizations and gestures of some songbirds, cetaceans and great apes may conform to linguistic laws that reflect this trade-off between efficiency and complexity. In these studies, clustering signals into types cannot be done a priori, and an analysis may affect statistical signals in the data. Here we assess the language-like efficiency and structure in house finch song across three levels of granularity in syllable clustering. The results show strong evidence for Zipf's rank–frequency law, Zipf's law of abbreviation and Menzerath's law. These statistical patterns are robust and exhibit a degree of scale invariance. (Excerpt)

My name is Mason Youngblood, and I am a postdoctoral fellow in the Institute for Advanced Computational Science at Stony Brook University. In my research, I apply methods from cognitive science, computational social science, and cultural evolution to questions about human and non-human animal behavior. Specifically, I’m interested in understanding how cognitive biases and population structure shape the cultural evolution of behaviors and beliefs (e.g. music, extremist ideology, birdsong, conspiracy theories).

Our Earthuman Ascent: A Major Evolutionary Transition in Individuality

Pierre-Yves Oudeyer. www.pyoudeyer.com.. . The French computational psychologist (search) is the director of the Flowers project-team at the Inria Center of University of Bordeaux. Current (March 2024) projects are now much involved with chatty AI features guided by insights gained from studies with children. A recent talk is Developmental AI: machines that learn like children and help children learn better. As the quotes say, another senior scholar finds evidence that both youngsters and large language modes use trail/error iterate methods in similar ways. See also Open-ended learning and development in machines and humans on the flowers.inria.fr. site.

Together with a great team, I study lifelong autonomous learning, and the self-organization of behavioural, cognitive and language structures at the frontiers of artificial intelligence and cognitive sciences. I use machines as tools to understand better how children learn and develop, and I study how one can build machines that learn autonomously like children, as well as integrate within human cultures, within the new field of developmental artificial intelligence. (P-Y O)

The Flowers project-team, at the University of Bordeaux and at Ensta ParisTech, studies versions of hoistic individual development. These models can help us better understand how children learn, as well as to build machines that gain knowledge as children do, aka developmental artificial intelligence, with applications in educational technologies, automated discovery, robotics and human-computer interaction.

Ahissar, Ehud, et al. Mapping the Mind-Brain Duality to a Digital-Analog Perceptual Duality. arXiv:2404.05732. Weizmann Institute of Science, University of Hertfordshire, UK, and Hebrew University of Jerusalem neuro-researchers including Daniel Polani proceed to identify another cerebral complementarity akin to byte-like and relational mode computations. By one more view, this common particle/wave, me/We reciprocity composes our own bicameral coherence.

Could the abstract ideas of our minds originate from neuronal interactions within our brains? To address this question, we examine interactions within 'brain-world' (BW) and 'brain-brain' (BB) domains, which represent the brain's physical interactions with its environment and the mental interactions between brains. BW interactions are seen as analog - dynamic and continuous, whereas BB modes are digital - non-dynamic and discrete. This distinction allows BB phases to facilitate effective, albeit information-limited, communication. We review existing data showing that cascades of neural circuits can convert between analog and digital signals, thereby linking physical and mental processes. We argue that these circuits cannot reduce one to the other, so that the mind-brain duality can be mapped to the BB-BW duality. Such mapping suggests that the mind's foundation is inherently social, which can explain how the physical-mental gap coexists along with the physical body and the non-physical mind. (Abstract)

Ryali, Srikanth, et al. Deep learning models reveal replicable, generalizable, and behaviorally relevant sex differences in human functional brain organization. PNAS. 121, 2024. Into this year, Stanford University psychologists including Vinod Menon make a strong empirical case that there are significant distinctions between the bilateral brains and consequent behaviors of women and men. Using the latest explainable neural net methods (XAI), the team were consistently able to quantify an array of typical masculine and feminine characteristics. Google the title for many reviews of this major work (which of course we knew all along).

Sex is an important biological factor that influences human behavior, impacting cognitive capacity and the manifestation of psychiatric and neurological disorders. However, previous research on how brain organization differs between males and females remain mostly inconclusive. Leveraging recent advances in artificial intelligence and large multicohort functional MRI datasets, we identify replicable, generalizable, and behaviorally relevant sex differences in human neural architecture localized to the default mode network, striatum, and limbic network. (Excerpt)

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)

Nichols, Ryan. Cultural evolution: A review of theoretical challenges. Evolutionary Human Sciences. Volume 6, February, 2024. In this Cambridge Press journal edited by Oxford anthropologist Ruth Mace, eleven sociality scientists with postings in the USA, Morocco, Denmark, Germany, France and Spain including Mathieu Charbonneau, Miriam Haidle and Jose Segovia-Martin address a real concern that this academic field which should follow from biological sources remains ill defined, parcellated, debated to an extent that inhibits clarity and integrity. After a broad review of these issues, several pathways toward consiience are laid out.

Perez, Jermey, et al. Perez, Jeremy, et al. Cultural evolution in populations of Large Language Models. arXiv:2403.08882. Flowers Team, INRIA, Bordeaux, France scholars including Pierre-Yves Oudeyer (search) advance insightful approaches to provide better, more humane, realistic editorial guidance for these vicarious textual corpora. By March 2024, as the Earthificial section above reports, it has been noticed that these spontaneous cognitive venues actually seem to train themselves akin to how children persistently learn to speak and discover.