Journal Papers
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81. A. Pariz, Z. Ghasemi Esfahani, S. Parsi, A. Valizadeh, S. Canals and C. Mirasso,
High frequency neurons determine effective connectivity in neuronal networks,
NeuroImage 166(2018), 349-359  [abstract]   
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82. M. Curry, A. Zimmermann, M. Parsa, M. Dehaqani, K. Clark and B. Noudoost,
A Cage-Based Training System for Non-Human Primates,
Aims Press 4(2018), 102-119  [abstract]   
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83. A. Bakhtazad, N. Vousooghi, B. Garmabi and M. Zarrindast,
Evaluation of the CART peptide expression in morphine sensitization in male rats,
European Journal of Pharmacology 802(2017), 52-59  [abstract]   
Code:    
 
84. A. Dizaji and H. Hossein-Zadeh ,
A Change-point Analysis Method for Single-trial Study of Simultaneous EEG-fMRI of Auditory/Visual Oddball Task,
bioRxiv (2017), 1-23  [abstract]   
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85. M. Afzali, E. Fatemizadeh and H. Soltanian-Zadeh,
Sparse registration of diffusion weighted images,
Computer Methods and Programs in Biomedicine 151(2017), 33-43  [abstract]   
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86. M. Madadi Asl, A. Vahavie and A. Valizadeh,
Dopaminergic Modulation of Synaptic Plasticity, Its Role in Neuropsychiatric Disorders, and Its Computational Modeling,
Basic and Clinical Neuroscience (BCN, Publication of Tehran University of Medical Sciences) (2017), 1-29  [abstract]   
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87. B. Parhizi, M.R. Daliri and M. Behroozi,
Decoding the different states of visual attention using functional and effective connectivity features in fMRI data,
Cognitive Neurodynamics (2017),   [abstract]   
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88. M. Esghaei, M.R. Daliri and S. Treue,
Local field potentials are induced by visually evoked spiking activity in macaque cortical area MT,
Scientific Reports 7(2017), 1-11  [abstract]   
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89. S. Moosavi, A. Montakhab and A. Valizadeh,
Refractory period in network models of excitable nodes: self-sustaining stable dynamics, extended scaling region and oscillatory behavior,
Scientific Reports (2017), 1-10  [abstract]   
Code: doi:10.1038/s41598-017-07135-6    
 
90. H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour,
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models,
Scientific Reports  (to appear) [abstract]   
Code:    
 

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