“Papers of School of Cognitive Sciences”

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341. E. Davoodi-Bojd, K. Elisevich, J. Schwalb, E. Air and H. Soltanian-Zadeh,
TLE lateralization using whole brain structural connectivity,
(2016),   [abstract]

   342. S. Samadi, H. Soltanian-Zadeh and C. Jutten,
Integrated Analysis of EEG and fMRI Using Sparsity of Spatial Maps.,
Brain Topography 29(2016), 661-678  [abstract]

   343. S. Maleki-Balajoo, G. Hossein-Zadeh, and H. Soltanian-Zadeh,
Locally Estimated Hemodynamic Response Function and Activation Detection Sensitivity in Heroin-Cue Reactivity Study.,
Basic and Clinical Neuroscience (2016), 299-314  [abstract]

   344. A. Sarabi-Jamab and B. Araabi,
Information-Based Evaluation of Approximation Methods in Dempster-Shafer Theory,
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24(2016), 503-535  [abstract]

   345. H. Karimi-Rouzbahani, R. Ebrahimpour and N. Bagheri,
Role of Feed-forward ventral visual cortex in compensating for different variations in core object recognition,
in: 10th Federation of European Neuroscience (FENS), Copenhagen, Denmark, 2016., , 2016, pp.   [abstract]

   346. M. Daliri, V. Kozyrev and S. Treue,
Attention enhances stimulus representations in macaque visual cortex without affecting their signal-to-noise level,
Scientific Reports (2016), 1-9  [abstract]

   347. T Toosi, E. Tousi and H. Esteky,
Learning temporal context shapes prestimulus alpha oscillations and improves visual discrimination performance,
Journal of Neurophysiology (2016), 771-777  [abstract]

   348. A. Tajik, A. Rezayof, Z. Ghasemzadeh and M. Sardari,
Activation of the dorsal hippocampal nicotinic acetylcholine receptors improves tamoxifen-induced memory retrieval impairment in adult female rats,
Neuroscience 327(2016), 1-7  [abstract]

   349. A. Pariz, S. Parsi and A. Valizadeh,
High frequency neuron can facilitate propagation of signal in neural networks,
in: BMC Neuroscience 2016, 17(Suppl 1):P42, , 2016, pp.   [abstract]

   350. A. Goodarzinick, M. Niry and A. Valizadeh,
Scale-free functional networks of 2D Ising model are highly robust against structural defects: neuroscience implications,
in: BMC Neuroscience 2016, 17(Suppl 1):P41, , 2016, pp.   [abstract]

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