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Episode 10 08.03.2010
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How did a brain system for grasping objects become the foundation for human language? Michael Arbib traces the evolutionary path from mirror neurons to speech, arguing that schema theory provides the missing link between neural circuits and cognitive architecture. Subscribe for more from the Convergent Science Network podcast series. Michael Arbib has spent decades developing schema theory , a framework for decomposing complex behaviors into interacting functional units that can be mapped onto neural circuits. In this interview, he explains how this approach bridges the gap between high-level cognitive descriptions and low-level neural implementations, using two case studies: the visual control of hand movements and the evolution of language. The story begins with the premotor cortex, where Arbib’s collaborator Giacomo Rizzolatti discovered mirror neurons , cells active both when a monkey performs a hand action and when it observes the same action performed by another. Brain imaging revealed that the human homologue of this mirror region overlaps with Broca’s area, traditionally considered a speech center. This anatomical coincidence opened a research program connecting manual action to linguistic communication. Arbib outlines eleven evolutionary steps from our common ancestor with monkeys to the language-ready human brain, each representing what he calls a “small miracle” , a plausible transition requiring only modest genetic changes. The key transitions include: extending action recognition to imitation of novel actions, developing pantomime from practical object manipulation, conventionalizing gestures through social interaction, and finally recruiting the vocal apparatus for proto-speech. Arbib emphasizes that language likely did not evolve as a single package but was gradually discovered by human cultures exploiting brain capacities that evolved for other purposes. Sign language demonstrates that the linguistic capacity is not inherently vocal , it is a general-purpose system for structured communication. Schema theory serves as the computational backbone of this framework. Arbib positions schemas as intermediate-level descriptions, analogous to high-level programming languages, that capture the functional decomposition of behavior without committing to specific neural implementations. But unlike purely abstract computational theories, schemas are meant to be iteratively refined against neurophysiological data, creating a loop between cognitive-level hypotheses and circuit-level constraints. Arbib insists on causal completeness: a model must account for the full chain from sensory input through internal processing to behavioral output, not just correlate with isolated neural recordings.
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Brain mirror neurons Neural Circuits schema theory
About the author call_made
Both the triumphs of humanity and its most evil deeds have resulted from collaboration. In a time where humanity is required to aspire to the former and minimize the latter, the question arises of how collaboration arises and why it fails. Surprisingly, this phenomenon, so central to who we are, is not well understood. Hence, a collaborative effort is required to understand collaboration in its full biological, psychological, sociological, cultural, and economic complexity and to translate this understanding into operational impact. This series of podcasts is one step toward achieving these complementary goals. The Collaboration Podcast presents interviews with people who are central orchestrators of collaboration in various domains including business, government, science, art, health, sustainability, and the military. The discussions were conducted by Prof. Dr. Paul F.M.J. Verschure and members of the Program Advisory Committee of the Ernst Strungmann Forum on Collaboration (https://www.esforum.de/forums/ESF32_Collaboration.html) during 2021 and had the goal to sketch a map of opportunities, challenges, and obstacles in human collaboration. The forum took place in May 2022, and now we would like to share this series of interviews with a broader audience. The full report of the Forum will be published in 2023 by MIT Press. The podcast was produced by the Convergent Science Network (https://www.convergentsciencenetwork.org/). Context: The stability of social systems depends critically on realizing sustainable methods of “collaboration,” yet how and by which means collaboration is achieved is not clearly understood; neither are the conditions or processes that lead to its breakdown or failure. Collaboration can be understood as cooperation between agents toward mutually constructed goals. Part of the reason for our lack of understanding is that the phenomenon of collaboration is, by nature, a highly multidisciplinary problem, and effective research into its complexities has been difficult to achieve across the broad range of scientific and technical disciplines involved. The need for a fundamental understanding of collaboration, however, has become increasingly important. Not only does humankind demand answers as it attempts to address critical challenges at multiple scales (e.g., climate change, migration, enhanced automation, social and economic inequality), but ever-increasing technological and economic means of interconnecting people and societies are disrupting long-established, familiar patterns of how we interact. Radical technological changes that are ongoing have the potential to reshape collaboration in ways that are currently hard to predict or influence (e.g., by altering configurations in interaction, information creation, and modes of communication). On one hand, such changes could disrupt hitherto stable forms of collaboration by affecting critical communication channels and traditional roles, as can be observed in the rapidly changing patterns in governance, commerce, and social interaction. Conversely, technology could lead to the emergence of novel, successful forms of collaboration that deviate from traditional “hierarchical” architectures. Evidence of this can be seen in areas as diverse as highly automated manufacturing plants, the open science movement, collaborative software repositories, user-centered services, and the sharing of economy-based modes of organization. Without a fundamental understanding of the mechanisms, processes, and boundary conditions of collaboration, it is not possible to evaluate or predict which of these possible scenarios are sustainable or even plausible. The Forum “How Collaboration Arises and Why it Fails” (May 8–13, 2022, Location: Frankfurt am Main, Germany) Chairs: Andreas Roepstorff and Paul Verschure Program Advisory Committee: Jenna Bednar, Julia R. Lupp, Bhavani R. Rao , Andreas Roepstorff, Ferdinand von Siemens, and Paul Verschure
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