#15 · Systems biology
Coupling and modulation parameters shape oscillatory states across network models
The dominant thread is that parameters governing coupling and modulation determine which oscillatory states a network can occupy. A balanced leaky integrate-and-fire study maps oscillatory regimes across synaptic decay, conduction delay, and plasticity rate using Brian2 simulations. A central pattern generator preprint reports that neuromodulation supports robust transitions between rhythmic patterns in degenerate networks with fixed connectivity, indicating that modulatory state can select among output patterns. A published E-I spiking study finds that sub-second cholinergic modulation desynchronizes intra-connected microcircuits, an effect absent under constant-tone modulation and dependent on modulation rate and connectivity. The items differ in model class and scale, so this thread is dominant rather than uniform. What is new is framing coupling at synaptic, population, and network levels as an explicit parameter space that can be mapped and tested.
Published papers
Dynamic cholinergic signaling differentially desynchronizes cortical microcircuits dependent on modulation rate and network connectivity.
E-I spiking simulations show sub-second cholinergic modulation desynchronizes intra-connected networks, unlike constant-tone models.
Preprints
Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales
Maps oscillatory regimes in balanced leaky integrate-and-fire networks over synaptic decay, conduction delay, and plasticity rate using Brian2 simulations and…
Neuromodulation supports robust rhythmic pattern transitions in degenerate central pattern generators with fixed connectivity
Many essential biological functions, such as breathing and locomotion, rely on the coordination of robust and adaptable rhythmic patterns, governed by specific
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