Alireza Valizadeh

The paper shows that spike-timing-dependent plasticity (STDP) selects connections with delays matching network oscillation periods, optimizing signal transmission efficiency.

This study shows that time-shifted stimulation can decouple interacting neuronal populations through STDP, leading to long-lasting desynchronization.

This paper shows that connection delay and frequency detuning between neural populations determine information transfer in brain networks.

This study investigates how transmission delay and connection strength affect functional connectivity across frequency bands using a generalized Kuramoto model on brain connectomes.

This study uses a computational model of the basal ganglia to show that excitatory deep brain stimulation (EDBS) reduces pathological beta oscillations in Parkinson's disease, while inhibitory DBS does not.

This study shows that frequency-dependent delays in brain network interactions influence synchrony, with higher frequencies revealing finer spatial modular structures.

This paper shows that adding feedback connections to modular neuronal networks improves communication through resonance by enabling faster and more reliable propagation of single spike volleys.