{"id":190,"date":"2018-12-10T21:22:41","date_gmt":"2018-12-10T21:22:41","guid":{"rendered":"http:\/\/nnrl.ir\/?page_id=190"},"modified":"2022-09-06T16:13:09","modified_gmt":"2022-09-06T12:43:09","slug":"2017-2","status":"publish","type":"page","link":"https:\/\/nnrl.ir\/index.php\/publications\/2017-2\/","title":{"rendered":"Journal Papers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"190\" class=\"elementor elementor-190\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-36d81bd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"36d81bd\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-30a0bf22\" data-id=\"30a0bf22\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4f9ebf99 elementor-widget elementor-widget-text-editor\" data-id=\"4f9ebf99\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\n\t\t\t\t<p><b>2018 Journal Papers<\/b><\/p><p><a>Attention decouples action potentials from the phase of local field potentials in macaque visual cortical area MT<br \/><\/a>M Esghaei, MR Daliri, S Treue<br \/>BMC biology 16 (1), 86<\/p><p><a>Computer Aided Diagnosis System for Multiple Sclerosis Disease based on Phase to Amplitude Coupling in Covert Visual Attention<br \/><\/a>A Ahmadi, S Davoudi, MR Daliri<br \/>Computer Methods and Programs in Biomedicine<\/p><p><a>Investigation of eye movement pattern parameters of individuals with different fluid intelligence<br \/><\/a>BA Sargezeh, A Ayatollahi, MR Daliri<br \/>Experimental brain research, 1-14<\/p><p><a>Neural Monitoring With CMOS Image Sensors<br \/><\/a>A Yadegari, MA Karami, MR Daliri<br \/>Basic and Clinical Neuroscience 9 (3), 227-235<\/p><p><a>The beneficial or harmful effects of computer game stress on cognitive functions of players<br \/><\/a>H Aliyari, H Sahraei, MR Daliri, B Minaei-Bidgoli, M Kazemi, H Agaei, \u2026<br \/>Basic and clinical neuroscience 9 (3), 177<\/p><p><a>Decoding the different states of visual attention using functional and effective connectivity features in fMRI data<br \/><\/a>B Parhizi, MR Daliri, M Behroozi<br \/>Cognitive neurodynamics 12 (2), 157-170<\/p><p><a>Segmentation of brain MR images using a proper combination of DCS based method with MRF<br \/><\/a>A Ahmadvand, MR Daliri, SM Zahiri<br \/>Multimedia Tools and Applications 77 (7), 8001-8018<\/p><p><a>Altered topological properties of brain networks in the early MS patients revealed by cognitive task-related fMRI and graph theory<br \/><\/a>SNM Ashtiani, MR Daliri, H Behnam, GA Hossein-Zadeh, M Mehrpour, \u2026<br \/>Biomedical Signal Processing and Control 40, 385-395<\/p><p><a>Working Memory Enhances Cortical Representations via Spatially Specific Coordination of Spike Times<br \/><\/a>Z Bahmani, MR Daliri, Y Merrikhi, K Clark, B Noudoost<br \/>Neuron 97 (4), 967-979. e6<\/p><p><a>Neural Activity Predicts Reaction in Primates Long Before a Behavioral Response<br \/><\/a>MP Dezfouli, MB Khamechian, S Treue, M Esghaei, MR Daliri<br \/>Frontiers in behavioral neuroscience 12<\/p><p><a>Introducing a comprehensive framework to measure Spike-LFP coupling<br \/><\/a>M Zarei, M Jahed, MR Daliri<br \/>Frontiers in computational neuroscience 12<\/p><p><a>Neural Activities Predict Primate\u2019s Reaction Time Long Before its Decision<br \/><\/a>M Parto Dezfouli, MB Khamechian, S Treue, M Esghaei, MR Daliri<br \/>Frontiers in Behavioral Neuroscience 12, 207<\/p><p><a>Brain Control of an External Device by Extracting the Highest Force-Related Contents of Local Field Potentials in Freely Moving Rats<br \/><\/a>A Khorasani, R Foodeh, V Shalchyan, MR Daliri<br \/>IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (1), 18-25<\/p><h2><b><br \/>2017\u00a0<\/b><\/h2><p><a>Local field potentials are induced by visually evoked spiking activity in macaque cortical area MT<br \/><\/a>M Esghaei, MR Daliri, S Treue<br \/>Scientific reports 7 (1), 17110<\/p><p><a>Diagnosis of multiple sclerosis from EEG signals using nonlinear methods<br \/><\/a>A Torabi, MR Daliri, SH Sabzposhan<br \/>Australasian physical &amp; engineering sciences in medicine 40 (4), 785-797<\/p><p><a>DCS-SVM: a novel semi-automated method for human brain MR image segmentation<br \/><\/a>A Ahmadvand, MR Daliri, M Hajiali<br \/>Biomedical Engineering\/Biomedizinische Technik 62 (6), 581-590<\/p><p><a>Semantic category-based classification using nonlinear features and wavelet coefficients of brain signals<br \/><\/a>A Torabi, FZ Jahromy, MR Daliri<br \/>Cognitive Computation 9 (5), 702-711<\/p><p><a>Analysis of folk music preference of people from different ethnic groups using kernel-based methods on EEG signals<br \/><\/a>A Bajoulvand, RZ Marandi, MR Daliri, SH Sabzpoushan<br \/>Applied Mathematics and Computation 307, 62-70<\/p><p><a>Semantic category-based decoding of human brain activity using a Gabor-based model by estimating intracranial field potential range in temporal cortex<br \/><\/a>F Zareayan Jahromy, MR Daliri<br \/>Journal of Integrative Neuroscience 16 (4), 419-428<\/p><p><a>Minimum noise estimate filter: A novel automated artifacts removal method for field potentials<br \/><\/a>R Foodeh, A Khorasani, V Shalchyan, MR Daliri<br \/>IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (8\u00a0\u2026<\/p><p><a>Automatic lung nodule detection based on statistical region merging and support vector machines<br \/><\/a>EA Khordehchi, A Ayatollahi, MR Daliri<br \/>Image Analysis &amp; Stereology 36 (2), 65-78<\/p><p><a>A new method for epileptic seizure classification in EEG using adapted wavelet packets<br \/><\/a>A Ahmadi, V Shalchyan, MR Daliri<br \/>Electric Electronics, Computer Science, Biomedical Engineerings\u2019 Meeting\u00a0\u2026<\/p><h2><b><br \/>2016\u00a0<\/b><\/h2><p><a>Continuous force decoding from local field potentials of the primary motor cortex in freely moving rats <br \/><\/a>A Khorasani, NH Beni, V Shalchyan, MR Daliri<br \/>Scientific reports 6, 35238<\/p><p><a>Underwater cable detection in the images using edge classification based on texture information <br \/><\/a>M Fatan, MR Daliri, AM Shahri<br \/>Measurement 91, 309-317v<\/p><p><a>Introduction to the 6th special section on Advances in Biomedical Signal and Image Processing, and Biometrics <br \/><\/a>MR Daliri, S Sanei<br \/>Computers and Electrical Engineering 53 (C), 122-124<\/p><p><a>Attention enhances stimulus representations in macaque visual cortex without affecting their signal-to-noise level<br \/><\/a>MR Daliri, V Kozyrev, S Treue<br \/>Scientific reports 6, 27666<\/p><p><a>Recognition of amyotrophic lateral sclerosis disease using factorial hidden Markov model<br \/><\/a>A Khorasani, MR Daliri, M Pooyan<br \/>Biomedical Engineering\/Biomedizinische Technik 61 (1), 119-126<\/p><p><a>Accurate Determination of GPS Receiver with Different Classification Methods<br \/><\/a>AA Abedi, MR Mosavi, K Mohammadi, MR Daliri<br \/>Iranian Journal of Electrical and Electronic Engineering 12 (3), 177-186<\/p><p><a>A Review on Texture Analysis Methods in Biomedical Image Processing<br \/><\/a>A Ahmadvand, MR Daliri<br \/>OMICS Journal of Radiology 5 (2), e136<\/p><p><a>Decoding of object categories from brain signals using cross frequency coupling methods<br \/><\/a>S Jafakesh, F Zareayan Jahromy, MR Daliri<br \/>Biomedical Signal Processing and Control 27, 60-67<\/p><p><a>Invariant texture classification using a spatial filter bank in multi-resolution analysis<br \/><\/a>A Ahmadvand, MR Daliri<br \/>Image and Vision Computing 45, 1-10<\/p><p><a>EEG phase patterns reflect the representation of semantic categories of objects<br \/><\/a>M Behroozi, MR Daliri, B Shekarchi<br \/>Medical &amp; biological engineering &amp; computing 54 (1), 205-221<\/p><h2><b><br \/>2015\u00a0<\/b><\/h2><p><a>Attention decreases phase-amplitude coupling, enhancing stimulus discriminability in cortical area MT<br \/><\/a>M Esghaei, MR Daliri, S Treue<br \/>Frontiers in neural circuits 9, 82<\/p><p><a>Introduction to the special issue on Advances in biomedical signal and image processing, and biometrics<br \/><\/a>MR Daliri, Z Jin<br \/>Computers and Electrical Engineering 45 (C), 208-210<\/p><p><a>The effects of fifa 2015 computer games on changes in cognitive, Hormonal and brain waves functions of young men volunteers<br \/><\/a>H Aliyari, M Kazemi, E Tekieh, M Salehi, H Sahraei, MR Daliri, H Agaei, \u2026<br \/>Basic and clinical neuroscience 6 (3), 193<\/p><p><a>Supervised segmentation of MRI brain images using combination of multiple classifiers<br \/><\/a>A Ahmadvand, M Sharififar, MR Daliri<br \/>Australasian physical &amp; engineering sciences in medicine 38 (2), 241-253<\/p><p><a>RDLPFC area of the brain encodes sentence polarity: a study using fMRI<br \/><\/a>M Behroozi, MR Daliri<br \/>Brain imaging and behavior 9 (2), 178-189<\/p><p><a>Improving the runtime of MRF based method for MRI brain segmentation<br \/><\/a>A Ahmadvand, MR Daliri<br \/>Applied Mathematics and Computation 256, 808-818<\/p><p><a>Evaluation of local field potential signals in decoding of visual attention<br \/><\/a>Z Seif, MR Daliri<br \/>Cognitive Neurodynamics<\/p><p><a>The Effect of Adaptation on the Tuning Curves of Rat Auditory Cortex<br \/><\/a>M Parto Dezfuli, MR Daliri<br \/>Plos one 10 (2), e0115621<\/p><p><a>Combining extreme learning machines using support vector machines for breast tissue classification<br \/><\/a>MR Daliri<br \/>Computer methods in biomechanics and biomedical engineering 18 (2), 185-191<\/p><p><a>Predicting the eye fixation locations in the gray scale images in the visual scenes with different semantic contents<br \/><\/a>HZ Momtaz, MR Daliri<br \/>Cognitive Neurodynamics, 1-17<\/p><p><a>Differences of eye movement pattern in natural and man-made scenes and image categorization with the help of these patterns<br \/><\/a>HZ Momtaz, MR Daliri<br \/>Journal of Integrative Neuroscience, 1650002<\/p><h2><b><br \/>2014\u00a0<\/b><\/h2><p><a>HMM for classification of Parkinson\u2019s disease based on the raw gait data<br \/><\/a>A Khorasani, MR Daliri<br \/>Journal of medical systems 38 (12), 147<\/p><p><a>Predicting brain states associated with object categories from fMRI data<br \/><\/a>M Behroozi, MR Daliri<br \/>Journal of integrative neuroscience 13 (04), 645-667<\/p><p><a>PSO-based optimal selection of Zernike moments for target discrimination in high-resolution SAR imagery<br \/><\/a>M Amoon, G Rezai-rad, MR Daliri<br \/>Journal of the Indian Society of Remote Sensing 42 (3), 483-493<\/p><p><a>Decoding of visual attention from LFP signals of macaque MT<br \/><\/a>M Esghaei, MR Daliri<br \/>Plos One 9 (6), e100381<\/p><p><a>A hybrid method for the decoding of spatial attention using the MEG brain signals<br \/><\/a>MR Daliri<br \/>Biomedical Signal Processing and Control 10, 308-312<\/p><p><a>Brain MR image segmentation methods and applications<br \/><\/a>A Ahmadvand, M Daliri<br \/>OMICS J Radiol 3, e130<\/p><p><a>Evaluation of Phase Locking and Cross Correlation Methods for Estimating the Time Lag between Brain Sites: A Simulation Approach<br \/><\/a>MJ Soltanzadeh, MR Daliri<br \/>Basic and clinical neuroscience 5 (3), 205<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\t\t\t\t<![CDATA[]]>\t\t<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":23,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-190","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.6 (Yoast SEO v25.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Journal Papers - Neuroscience and Neuro-engineering Research Laboratory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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