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Episode 7 15.03.2018
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How does the brain understand what another person is doing without having to think about it? Giacomo Rizzolatti, who discovered mirror neurons, explains why action understanding is rooted in the motor system , and why the concept must now expand from individual mirror neurons to a mirror brain that spans parietal, premotor, and motor cortex. Subscribe for more from the Convergent Science Network podcast series. Giacomo Rizzolatti joins Paul Verschure and Tony Prescott at the BCBT summer school to revisit and extend the mirror neuron framework he pioneered. The core finding remains: neurons in the macaque premotor cortex (area F5) and parietal cortex fire both when the monkey performs a goal-directed action and when it observes another agent performing a similar action. Rizzolatti emphasizes that this is not simple visual-motor transformation , the match must be at the level of the goal, not the specific movement. Recent work by Roger Lemon has extended this to the corticospinal tract, revealing mirror properties even in neurons projecting directly to the spinal cord, with some showing suppressive responses that may help prevent involuntary imitation. The discussion explores the boundaries of the mirror system. Rizzolatti describes an experiment comparing human brain responses to eating and communicative actions performed by humans, monkeys, and dogs. Mirror responses generalize across species for eating, because biting is a shared motor program, but not for dog barking, because humans lack a motor program for barking. This supports the principle that mirror neuron activation requires a matching motor repertoire in the observer. The conversation also addresses how novel actions are learned: Rizzolatti proposes that complex sequences like guitar chords are decomposed into elementary motor acts recognized by the mirror system, then reassembled by prefrontal cortex into new combinations. The conversation tackles the tension between imitation and goal-matching, the role of context in constraining the space of possible action interpretations, whether internal motivational states modulate mirror responses, and how temporal analysis using gamma-band recordings may reveal the dynamics of action prediction. Rizzolatti distinguishes between lower-level mirroring, immediate, automatic recognition of observed actions, and higher-level mirroring, where cognitive effort is required to understand unfamiliar or ambiguous actions. Key topics include the parietal-premotor-motor mirror circuit, goal-directed action understanding, cross-species generalization of mirror responses, the role of motor programs in social cognition, imitation versus goal recognition, and the extension from mirror neurons to a distributed mirror brain. Part of the Convergent Science Network podcast series from the BCBT Summer School.
Tagged as:
Brain Cortex mirror neurons Mirror Responses Motor
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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