Journal Papers
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251. P. Naghibirad, A. Shahroudi, H. Shabani, S. Ajami and R. Lashgari,
Encoding Pleasant and Unpleasant Expression of the Architectural Window Shapes: An ERP Study,
Frontiers in Behavioral Neuroscience (2019), 1-10  [abstract]   
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252. E. Yargholi, G. Hoddein-zadeh and R. Rajimehr,
Predicting BOLD activity in FFA from the activity in other visual areas,
Brain connectivity (2019), 329-340  [abstract]   
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253. E. Yargholi and G. Hoddein-zadeh,
Cross recurrence quantifiers as new connectivity measures for structure learning of Bayesian networks in brain decoding,
Chaos, Solitons & Fractals 123(2019), 263-274  [abstract]   
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254. M. Hasantash, R. Lafer-Sousa, A. Afraz and B. Conway,
Paradoxical impact of memory on color appearance of faces,
Nature Communications 10(2019), 1-10  [abstract]   
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255. A. Daneshi, H. Azarnoush, F. Towhidkhah, A. Gohari and A. Ghazizadeh,
Drift-diffusion explains response variability and capacity for tracking objects,
Scientific Reports 9(2019), 1-15  [abstract]   
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256. V. Kozyrev, M. Daliri, P. Schwedhelm and S. Treue,
Strategic deployment of feature-based attentional gain in primate visual cortex,
Plos Biology (2019), 1-18  [abstract]   
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257. M. Khamechian, V. Kozyrev, S. Treue, M. Esghaei and M. Daliri,
Routing information flow by separate neural synchrony frequencies allows for "functionally labeled lines" in higher primate cortex,
PNAS 116(2019), 12506-12515  [abstract]   
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258. K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour and S. Khaligh-Razavi,
Beyond Core Object Recognition: Recurrent processes account for object recognition under occlusion,
PLOS Computational Biology  (to appear) [abstract]   
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259. S. Vafaei Shooshtari, J. Esmaily Sadrabadi, Z. Azizi and Ebrahimpour. Reza,
Confidence Representation of Perceptual Decision by EEG and Eye Data in a Random Dot Motion Task,
Neuroscience 406(2019), 510-527  [abstract]   
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260. S. Masoudnia, O. Mersa, BN. Araabi, A-H. Vahabie, MA. Sadeghi and MN. Ahmadabadi,
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs,
Expert Systems with Applications (2019),   [abstract]   
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