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Episode 8 15.03.2014
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What happens in the brain between perfect synchrony and total disorder , and why might that intermediate zone be where cognition lives? Computer scientist Murray Shanahan explains how metastable chimera states in coupled oscillator networks may capture the dynamic coalitions that govern brain function. Subscribe for more from the Convergent Science Network podcast series. Murray Shanahan joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss his computational work on metastability and chimera states in brain-like networks. The conversation builds on Pascal Fries’s communication-through-coherence hypothesis, which proposes that synchronized neuronal populations are positioned to exchange information and cooperate, while desynchronized populations are effectively shut out. Shanahan extends this framework by showing that abstract coupled oscillator models, Kuramoto oscillators, can produce chimera states where one subset of oscillators synchronizes while another remains desynchronized, and that these states are metastable, breaking apart and reforming in new configurations over time. The discussion explores how these dynamics relate to real brain phenomena, including binocular rivalry and resting-state fMRI data. When Kuramoto oscillators are placed on nodes of a real human connectome derived from diffusion tensor imaging, the model produces strong correlations with empirical resting-state functional connectivity , but only when operating in the metastable chimera regime. This finding surprised Shanahan and suggests that the brain may be poised at a critical point between order and disorder, where the richness of its dynamical repertoire is maximized. Key topics include how metastability differs from stable attractors and why it matters for cognition, what chimera states are and why physicists initially overlooked their relevance, how gamma-frequency oscillations facilitate competition and cooperation among distributed neuronal populations, why coupling strength and transmission delays are the key parameters governing these dynamics, and what the relationship is between fast oscillatory mechanisms and the slower dynamics captured by fMRI. Part of the Convergent Science Network podcast series from the BCBT Summer School.
Tagged as:
Brain chimera states Coupled Oscillator metastability Metastable Chimera Oscillators Populations
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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