Cortex-Like Systems via Range-Dependent Networks of K-Dimensional Clocks

Explore a groundbreaking model for human cortex-like systems using range-dependent networks of phase-resetting k-dimensional clocks in this 41-minute conference talk. Delve into the architecture of neural connections and dynamics within the human cortex, examining how densely connected neural columns behave like k-dimensional clocks. Discover how these clocks send directed signals to one another, resulting in phase-resetting events. Investigate the system's inner life and its ability to explain aspects of consciousness, such as internal sensations. Learn how this approach reduces cognitive load and allows for the simulation of 1M dynamical clocks instead of 10B dynamical neurons. Examine the whole system dynamics through various examples and experiments, and consider key challenges for further research in this novel approach to modeling cognition within the cortex.

Peter Grindrod - Cortex-like systems via range-dependent networks of k-dimensional clocks