activity
20102018
most citedSynchronization of oscillators through time-shifted common inputs

21 citations · 51 across the 10 of their papers we have counts for

collaborators

13 papers

q-bio.NC2018★ 15 cited

Robustness of functional networks at criticality against structural defects

Abdorreza Goodarzinick, Mohammad D. Niry, Alireza Valizadeh +1

The robustness of dynamical properties of neuronal networks against structural damages is a central problem in computational and experimental neuroscience. Research has shown that…

cond-mat.dis-nn2018★ 8 cited

Coexistence of scale invariant and rhythmic behavior in self-organized criticality

S. Amin Moosavi, Afshin Montakhab, Alireza Valizadeh

Scale-free behavior as well as oscillations are frequently observed in the activity of many natural systems. One important example is the cortical tissues of mammalian brain where…

cond-mat.dis-nn2017

Refractory period in network models of excitable nodes: self-sustaining stable dynamics, extended scaling region and oscillatory behavior

S. Amin Moosavi, Afshin Montakhab, Alireza Valizadeh

Networks of excitable nodes have recently attracted much attention particularly in regards to neuronal dynamics, where criticality has been argued to be a fundamental property. Ref…

q-bio.NC2016★ 21 cited

Synchronization of oscillators through time-shifted common inputs

Ehsan Bolhasani, Yousef Azizi, Alireza Valizadeh +1

Shared upstream dynamical processes are frequently the source of common inputs in various physical and biological systems. However, due to finite signal transmission speeds and dif…

q-bio.NC2015

Stabilizing synchrony by inhomogeneity

Ehsan Bolhasani, Alireza Valizadeh

We show that for two identical neuronal oscillators with strictly positive phase resetting curve, isochronous synchrony is an unstable attractor and arbitrarily weak noise can dest…

q-bio.NC2013

Direct coupling and inhomogeneity assist neurons to detect correlation in low amplitude noises

E. Bolhasani, Y. Azizi, A. Valizadeh

We address a question on the effect of common stochastic inputs on the correlation of the spikes trains of two neurons when they are possibly nonidentical and are coupled through d…