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Episode 19 14.03.2012
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How does your brain decide what you’re seeing before you’ve even finished looking? Moshe Bar reveals how the orbital frontal cortex uses blurry, low-resolution snapshots of the world to generate rapid predictions that shape perception in real time.
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In this episode, Moshe Bar challenges the textbook separation between perception and cognition, arguing that these processes are deeply intertwined rather than sequential. He presents evidence that the orbital frontal cortex (OFC) receives coarse, low spatial frequency visual information and uses it to generate top-down predictions that actively guide how we perceive our environment. Bar estimates the balance between bottom-up sensory input and top-down prediction can range from zero to one hundred percent depending on context, from meditative states where expectations are silenced to planning scenarios driven entirely by internal models.
Bar describes how faces can be categorized as threatening or non-threatening in as little as 39 milliseconds using low spatial frequency information, with the amygdala playing a key role. He positions the OFC not as a purely visual area but as a polysensory prediction hub that integrates subcortical and cortical inputs to anticipate what is coming next across multiple timescales. The discussion explores how OFC predictions relate to contextual memory networks involving medial prefrontal cortex, parahippocampal cortex, and retrosplenial cortex, each contributing different aspects of scene understanding from abstract schemas to specific spatial details.
A particularly compelling segment examines how contextual associations are organized in the brain. Using MEG phase-locking analysis and Granger causality, Bar shows that highly contextual objects activate a tightly synchronized three-node network, while non-contextual objects do not produce the same coherent activation. The conversation also addresses how spatial and temporal dimensions of context are processed, and how ambiguous stimuli like the word “bank” require the brain to activate and then suppress competing context frames.
Bar’s work raises fundamental questions about the evolutionary origins of rapid prediction, the relationship between the OFC and amygdala as parallel threat-assessment systems, and whether the brain’s predictive machinery extends beyond vision to prepare the body for action across all sensory modalities.
Tagged as:
Brain Frontal Cortex Orbital Frontal prediction Predictions proactive brain Spatial Frequency
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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