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Oscillating networks from a biological point of view

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Argues that some oscillation results are universal while others require physiological detail, using phase-reduced chain models and a discretization to a singularly perturbed boundary-value problem. Predicts and then verifies with lamprey spinal-cord forcing that entrainment differs by end (forced-end entrainment asymmetry), implying dominant tail-to-head coupling despite head-to-tail waves. Combines Hodgkin–Huxley–style circuits and PING networks to build a layered beta/gamma model that reproduces theta-modulated hit-rate oscillations in monkeys; the modeling and experiments agree.

AI-written summary · about

  1. 0:00Introduction
  2. 2:57Math to biology
  3. 5:10Eel swimming oscillations
  4. 16:17Brain rhythm modeling
  5. 22:25Complex brain rhythms
  6. 26:41Theta-gamma in attention
  7. 30:28Math and brain function
  8. 31:31Q&A
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