Research reveals how brain timing shapes neural networks
Synaptic delays found to control brain oscillation speed and coherence
A new study shows how synaptic delays shape the collective response of oscillatory brain networks. In a conductance-based excitatory-inhibitory spiking network operating in the PING regime, researchers varied synaptic delays and delivered brief perturbations to different populations. Increasing synaptic delay slowed network oscillations while boosting population synchrony, revealing a trade-off between frequency and coherence. Using network phase and amplitude response curves, they found that excitatory perturbations gave stable phase responses but weaker amplitude enhancement, while inhibitory perturbations triggered stronger delay-dependent shifts in both phase resetting and amplitude suppression. Whole-network stimulation combined features of both. The findings position synaptic delay as a key parameter in balancing phase resetting and amplitude modulation in oscillatory brain circuits.
- Synaptic delays were shown to directly control both oscillation speed and network synchrony in neural models
- Study used conductance-based spiking networks in PING regime with systematic delay variation
- Inhibitory perturbations showed strongest delay-dependent effects on phase resetting and amplitude suppression
Why It Matters
This research provides computational tools to understand and potentially treat neurological disorders linked to timing irregularities in brain oscillations