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Podcast introducing research on oscillation and intelligence. Please note that because this is created using AI, it may contain some errors.

Выпуски

  1. -11 Ч

    The Brain's Self-Balancing Oscillations

    How does the brain stay stable through aging, learning, and injury? This episode explores a computational model showing that inhibitory synaptic plasticity — a self-adjusting rule that strengthens local braking whenever excitation runs too high — can dynamically balance excitation and inhibition across a 68-region cortical network. With this mechanism in place, the model simultaneously matches multiple measures of MEG functional connectivity over a far wider range of parameters than any unbalanced model, achieving performance statistically indistinguishable from real individual human brains. Reference: Abeysuriya et al. (2018) "A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks" PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1006007

    16 мин.

  2. -3 ДН.

    The Brain's Sound Map & Perceptual Bias

    Why do mice—and likely all mammals—consistently make the same perceptual mistakes on certain sounds? Researchers at the University of Mainz used large-scale two-photon calcium imaging in the mouse auditory cortex to map how hundreds of neurons respond to 189 rhythmically varied pulsed sounds. They found that subtle sound features such as click timing, pulse imbalance, and rhythmic grouping are encoded on axes that are geometrically entangled with the task-relevant feature of click rate, and that this representational entanglement—measured in untrained mice—accurately predicts which sounds will systematically mislead trained mice in a categorization task. Reference: Seiler et al. (2026) "Representational geometry of sounds in the auditory cortex explains biases in perceptual decision-making in mice" Cell Reports. https://doi.org/10.1016/j.celrep.2026.117221

    16 мин.

  3. 14 МАЯ

    The Memory That Makes You Likeable

    When we share personal memories with others, do listeners pick up on the richness of those memories — and does it change how they feel about us? A new study published in PNAS tested this across two experiments in Canada and Italy, showing that people reliably detect whether a shared memory is episodic (vivid, contextually specific) or semantic (general, abstract), and consistently prefer to form closer relationships with those sharing episodic memories. The preference was driven by self-projection into the narrator's experience, not by inferred personality traits, and the perceived beauty of the narrator was entirely unaffected — making episodic richness a specific social signal of memory quality rather than a general halo effect. Reference: Ciaramelli, Waisman, Stendardi, Moscovitch (2026) "The detection of episodic memory in others biases social choice" PNAS. https://doi.org/10.1073/pnas.2530482123

    17 мин.

  4. 11 МАЯ

    Gamma Sync: How the Brain Sees Figures

    The brain's visual cortex generates gamma-band oscillations — rhythms between 30 and 80 Hz — but whether these oscillations actually help us perceive objects has been hotly debated. Karimian and colleagues argue that the stimulus-dependence of gamma synchrony, long seen as a fatal flaw, is in fact the mechanism itself: according to the theory of weakly coupled oscillators, neurons encoding a uniform-contrast figure region synchronize their rhythms while background neurons with variable contrasts do not, enabling figure-ground segregation. In a psychophysics experiment paired with a computational V1 oscillator model, human performance across 25 texture conditions traced out a triangular synchrony zone called an Arnold tongue, and perceptual learning over eight sessions was quantitatively predicted by Hebbian strengthening of oscillator coupling. Reference: Karimian, Roberts, De Weerd, Senden (2026) "Principles of gamma synchrony predict figure–ground perception in texture stimuli" eLife. https://doi.org/10.7554/eLife.105482

    17 мин.

  5. 7 МАЯ

    When Sound Maps Bias Decisions

    This episode explores how mice trained to discriminate pulsed sounds showed shared, systematic choice biases even when sounds had the same reinforced pulse count. Seiler and colleagues found that auditory cortex population activity represented four major timing-related sound features, and that entanglement between task-relevant and task-irrelevant feature axes predicted part of the animals' perceptual bias. Reference: Seiler et al. (2026) "Representational geometry of sounds in the auditory cortex explains biases in perceptual decision-making in mice" Cell Reports 45, 117221. https://doi.org/10.1016/j.celrep.2026.117221

    14 мин.

  6. 3 МАЯ

    Your Brain's Traveling Waves Unpacking the Hippocampus's Dynamic Memory Symphony

    This study is the first in the world to reveal that theta waves in the human hippocampus are "traveling waves" that move in a specific direction. Using electrode data implanted in the brains of epilepsy patients, the research team discovered that these vibrations propagate in a specific order from posterior to anterior. Human traveling waves have a wider frequency range compared to those in mice, and their speed changes with frequency. This mechanism allows neurons in different parts of the hippocampus to process information in different phases, playing a crucial role in phase coding for memory and spatial cognition. This finding suggests that the entire hippocampus organizes information temporally and spatially**, efficiently integrating input from the cerebral cortex. J Neurosci. 2015 Sep 9;35(36):12477-87. doi: 10.1523/JNEUROSCI.5102-14.2015. Traveling Theta Waves in the Human Hippocampus H Zhang, J Jacobs

    21 мин.
  • Выпусков: 6

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Podcast introducing research on oscillation and intelligence. Please note that because this is created using AI, it may contain some errors.

Информация

  • Автор
    sk
  • Годы выхода
    2 тыс.
  • Выпуски
    6
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © sk
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