“Papers of School of Cognitive Sciences”
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Reward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood,
Plos One 9(2014), 1-13 [abstract]
312. S. Kheradpisheh, F. Sharifzadeh, A. Nowzari-Dalini, M. Ganjtabesh and R. Ebrahimpour,
Mixture of feature specified experts,
Information Fusion 20(2014), 242-251 [abstract]
313. S. Kheradpisheh, A. Nowzari-Dalini, R. Ebrahimpour and M. Ganjtabesh,
An Evidence-Based combining classifier for brain signal analysis,
Plos One 9(2014), 1-16 [abstract]
314. 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]
315. 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]
316. 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]
317. 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]
318. 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]
319. 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]
320. 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]
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