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  • Axon #3: The Propagation Engine (Part 3: Decoding the Real Neural Computation)

    Axon #3: The Propagation Engine (Part 3: Decoding the Real Neural Computation)
    2026/09/09
    "As long as our brain remains a mystery, the Universe—which is a reflection of the structure of the brain—will also be a mystery." — Santiago Ramón y Cajal

    Welcome back to Axon, the podcast challenging scientific dogma to uncover how the brain really operates.

    In Part 1, we exposed the theoretical void of neuroscience and shattered computer metaphors. In Part 2, we dismantled the "driven brain" myth, revealing the 95% autonomous engine and the fallacy of clock-time experiments.

    Now, in Part 3 of our launch series on Per E. Roland’s "How far neuroscience is from understanding brains" (2023), we move past critiques and critiques into the real mechanism of biological thought. We investigate Spatial Dynamics—the fundamental hypothesis that brain computation is not carried by synchronized rate codes, but by the precise, sequential propagation of activity through the network’s geometry.

    In this segment, we debate the data that unlocks the real engine:

    Beyond Rate Codes: Why averaging neuron activity (temporal codes, place cells) destroys the actual computation. The real language of the brain is precise spatial sequences (Grün’s sequences, Figure 8A).
    Predicting the Future in Empty Space: How the cortex doesn't just wait for sensory input; it projects predictive waves of excitation far ahead of targets (Figure 11/Supplementary Video 2).
    Illusions and Fusion: How spatiotemporal smoothing in higher visual areas resolves apparent motion illusions (Figure 10) by fusing discrete objects in brain space and time.
    The Attention Wave: How learning-dependent inhibition and pre-excitation sweep across entire cortical areas before a stimulus appears (Figure 12).

    Featured Paper: Roland, P. E. (2023). How far neuroscience is from understanding brains. Frontiers in Systems Neuroscience.

    Subscribe and join us for Part 4, the final segment of our inaugural series, where we face the harsh crisis of measurement and lab hurdles.

    This episode includes AI-generated content.
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    40 分
  • Axon #2: The Rise of the Autonomous Brain (Part 2: Freeing Neuroscience from Clock Time)

    Axon #2: The Rise of the Autonomous Brain (Part 2: Freeing Neuroscience from Clock Time)
    2026/09/05
    "As long as our brain remains a mystery, the Universe—which is a reflection of the structure of the brain—will also be a mystery." — Santiago Ramón y Cajal

    Welcome back to Axon, the podcast dedicated to deconstructing established neuroscience dogmas to uncover the true nature of biological intelligence.In Part 1, we exposed the missing guiding theory of neuroscience and shattered old computer metaphors. In Part 2 of our four-part launch series on Per E. Roland’s "How far neuroscience is from understanding brains" (2023), we move beyond the critique of what is wrong to explore what is actually happening. We dive deep into the data that proves the brain is an autonomous engine, not a passive processor waiting for inputs.

    In this segment, we debate Roland's radical implications for larger-scale networks:
    • The Death of the Driven Brain: We dismantle the prevailing model that brains are input-output machines, revealing the overwhelming evidence that 85% to 95% of brain spiking is completely autonomous.
    • The "Clock Time" Fallacy: We expose why treating "time" as an independent variable—the clock in your computer metaphor—is a fundamental flaw in modern experimental design.
    • The Spatiotemporal Solution: How biological complexity solves computational problems by making space and time mutually dependent, from Sonja Grün’s sequential spatial firing orders to the "smoothing" of the apparent motion illusion.
    Subscribe and join us for Part 3, where we investigate the true mechanism of interaction: spatial dynamics and whole-CNS networks.

    This episode includes AI-generated content.
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    37 分
  • Axon #1: The Rise of the Autonomous Brain (Part 1: The Missing Theory)

    Axon #1: The Rise of the Autonomous Brain (Part 1: The Missing Theory)
    2026/09/02
    "As long as our brain remains a mystery, the Universe—which is a reflection of the structure of the brain—will also be a mystery." — Santiago Ramón y Cajal

    Welcome to the inaugural episode of Axon, a podcast dedicated to challenging scientific dogma, exposing negative results, and uncovering how the brain really operates.

    In Part 1 of our four-part launch series, we break down Per E. Roland’s landmark paper, "How far neuroscience is from understanding brains" (2023). We dive deep into why modern neuroscience is stuck:

    • Why the field completely lacks a unifying theory of the central nervous system.
    • The danger of relying on computer, circuit, and radio metaphors to explain biological tissue.
    • Why action potentials are overemphasized—and why the real computation happens inside the complex architecture of dendrites.

    Featured Paper:
    Roland, P. E. (2023). How far neuroscience is from understanding brains. Frontiers in Systems Neuroscience, 17, 1147896.

    Subscribe and join us for Part 2, where we dismantle the myth of the "driven brain" and explore the reality of autonomous neural activity.

    This episode includes AI-generated content.
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    39 分