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Episode 1 07.03.2010
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What if we’ve been studying brain activity for decades without actually knowing how the brain is wired? Neuroscientist Olaf Sporns introduced the concept of the connectome, a complete structural map of the human brain’s network, and explains why understanding connectivity is the missing foundation beneath all of functional neuroscience. Subscribe for more from the Convergent Science Network podcast series. Olaf Sporns, one of the pioneers behind the human connectome concept, joins Paul Verschure at the BCBT summer school to explain why neuroscience needs a comprehensive wiring diagram of the brain. The connectome describes the full set of structural connections between brain regions or individual neurons , the network architecture that generates all the dynamic activity researchers have been measuring for years. The conversation addresses a fundamental gap in neuroscience: everyone records brain activity, but without knowing the underlying connectivity, we cannot explain where that activity comes from or how it is generated. Sporns traces the idea back to Ramon y Cajal while emphasizing that modern diffusion imaging now allows us to infer connectivity in living humans non-invasively for the first time. The discussion explores the relationship between structural connectivity and functional dynamics. Sporns argues that the connectome is not just an anatomical catalog but a framework for understanding how network architecture shapes cognition, behavior, and brain disorders. The challenge is scale , mapping individual neurons remains impossible in humans, but region-level connectivity is now within reach. Key topics include the methodological limitations of current imaging techniques, the difference between structural and functional connectivity, how network science tools from physics and mathematics apply to brain organization, and why the connectome project represents a shift from studying isolated brain regions to understanding the brain as an integrated network. Part of the Convergent Science Network podcast series from the BCBT Summer School.
Tagged as:
Brain Activity brain connectivity Brain Regions connectome Individual Neurons Structural
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
Exploring the convergence of neuroscience, robotics, and AI through conversations with leading researchers since 2010.
A project of the Convergent Science Network Foundation.
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