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"Complex Networks" is a rapidly developing branch of science whose purpose is to model an interacting group of individuals. Internet, social and economic networks, power plant grids, transportation networks, and brain neuronal network are a few examples of the real world complex networks. The researches in the complex systems group are concentrated mostly on the study of structural properties of networks and dynamics on networks. The structural features of interests are the communities, motifs, clustering coefficients, and spectral properties.

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  • ModelDB

​ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. ModelDB is tightly coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models.

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Noise assisted excitation energy transfer in a linear model of a selectivity filter backbone strand

H Bassereh, V Salari, F Shahbazi

Journal of Physics: Condensed Matter 27 (27), 275102

 

Quantum decoherence time scales for ionic superposition states in ion channels

V Salari, N Moradi, M Sajadi, F Fazileh, F Shahbazi

Physical Review E 91 (3), 032704

 

Comment on Activation of Visual Pigments by Light and Heat (Science 332, 1307-312, 2011)

Three phase classification of an uninterrupted traffic flow: a k-means clustering study

R Kouhi, F Shahbazi, M Akbarzadeh

arXiv preprint arXiv:1610.06636

 

Do Neural Avalanches Indicate Criticality After All?

M Dehghani, M Zare, F Shahbazi

arXiv preprint arXiv:1608.07984

 

The physical mechanism for retinal discrete dark noise: thermal activation or cellular ultraweak photon emission?

V Salari, F Scholkmann, I Bokkon, F Shahbazi, J Tuszynski

Neuronal avalanches: Where temporal complexity and criticality meet

M Dehghani-Habibabadi, M Zare, F Shahbazi, J Usefie-Mafahim, ...

The European Physical Journal E 40 (11), 101

 

Complexity of eye fixation duration time series in reading of Persian texts: A multifractal detrended fluctuation analysis

M Sharifi, H Farahani, F Shahbazi, M Sharifi, CT Kello, M Zare

arXiv preprint arXiv:1707.02932

 

Multifractality and non-Gaussianity of eye fixation duration time series in reading Persian texts

M Sharifi, H Farahani, F Shahbazi, M Sharifi, CT Kello, M Zare

Physica A: Statistical Mechanics and its Applications 514, 549-562

 

Detecting critical links of urban networks using cluster detection methods

M Akbarzadeh, SFS Reihani, KA Samani

Physica A: Statistical Mechanics and its Applications 515, 288-298

 

Fixation time in evolutionary graphs: A mean-field approach

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