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391.	H. Khosravi and H. Soltanian-Zadeh, Multi-surface quasi-isometric flattening of the cortex, in: ISBI_2014, , 2014, pp. [abstract] Code: SCS-2014-06

392.	S. Movahedi, N. Mohajeri and H. Soltanian-Zadeh, Connectivity Abnormalities in Autism Spectrum Disorder Patients: A Resting State fMRI Study, in: The 22nd Iranian Conference on Electrical Engineering (ICEE 2014), May 20-22, 2014, Shahid Beheshti University, , 2014, pp. [abstract] Code: SCS-2014-05

393.	P. Zamani and H. Soltanian-Zadeh, Compressive Sensing Cardiac Cine MRI Using Invertible Non-Linear Transform, in: The 22nd Iranian Conference on Electrical Engineering (ICEE 2014), May 20-22, 2014, Shahid Beheshti University, , 2014, pp. [abstract] Code: SCS-2014-04

394.	A. Khadem and G.A. Hossein-Zadeh, Quantification of the effects of volume conduction on the EEG/MEG connectivity estimates: an index of sensitivity to brain interactions, Physiological Measurement 35(2014), 2149-2164 [abstract] Code: doi: 10.1088/0967-3334/35/10/2149

395.	A. Khadem and G.A. Hossein-Zadeh, Estimation of direct nonlinear effective connectivity using information theory and multilayer perceptron, Journal of Neuroscience Methods 229(2014), 53-67 [abstract] Code: scs-201453-67

396.	M. Latifi-Navid, K. Elisevich and H. Soltanian-Zadeh, Algorithmic Analysis of Clinical and Neuropsychological Data in Localization-Related Epilepsy, IJCMAM 4(2014), 33-58 [abstract] Code: doi: 10.4018/ijcmam.2014010103

397.	N. Emadi, R. Rajimehr and H. Esteky, High baseline activity in inferior temporal cortex improves neural and behavioral discriminability during visual categorization, Frontiers in Systems Neuroscience 8(2014), 1-13 [abstract] Code: doi: 10.3389/fnsys.2014.00218

398.	M. Behroozi and M.R. Daliri, Predicting brain states associated with object categories from fMRI data, Journal of Integrative Neuroscience 13(2014), 1-23 [abstract] Code: doi: 10.1142/S0219635214500241

399.	M. Ghodrati, K. Rajaei and R. Ebrahimpour, The importance of visual features in generic vs. specialized object recognition: a computational study, Frontiers in Computational Neuroscience (2014), 1-15 [abstract] Code: doi: 10.3389/fncom.2014.00078

400.	M. Ghodrati, A. Farzmahdi, K. Rajaei, R. Ebrahimpour and M. Khaligh-Razavi, Feedforward object-vision models only tolerate small image variations compared to human, Frontiers in Computational Neuroscience 8(2014), 1-17 [abstract] Code: doi: 10.3389/fncom.2014.00074

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