“Papers of School of Cognitive Sciences”
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Bandit-based local feature subset selection,
Neurocomputing 138(2014), 371-382 [abstract]
392. S. Lehky, R. Kiani, H. Esteky and K. Tanaka,
Dimensionality of object representations in monkey inferotemporal cortex,
Neural Computation 26(2014), 2135-2162 [abstract]
393. M. Judy, A.M. Sodagar, R. Lotfi and M. Sawan,
Nonlinear Signal-Specific ADC for Efficient Neural Recording in Brain-Machine Interfaces,
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 8(2014), 371-381 [abstract]
394. A.M. Sodagar,
Implantable Biomedical Microsystems: A New Graduate Course in Biomedical Circuits and Systems,
IEEE TRANSACTIONS ON EDUCATION 57(2014), 48-53 [abstract]
395. H. Hosseini-Nejad, A. Jannesari and A.M. Sodagar,,
Data Compression in Brain-Machine/Computer Interfaces Based on the Walsh-adamard Transform,
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 8(2014), 129-137 [abstract]
396. M. Behroozi and M.R. Daliri,
RDLPFC area of the brain encodes sentence polarity: a study using fMRI,
Brain Imaging and Behavior (2014), 1-12 [abstract]
397. S. Hashemizadeh, M. Sardari and A. Rezayof,
Basolateral amygdala CB1 cannabinoid receptors mediate nicotine-induced place preference,
Progress in Neuro-Psychopharmacology & Biological Psychiatry 51(2014), 65-71 [abstract]
398. M.R. Zarrindast, V. Ownegh, A. Rezayof and F. Ownegh,
The involvement of dorsal hippocampus in dextromethorphan-induced state-dependent learning in mice,
Pharmacology, Biochemistry and Behavior 116(2014), 90-95 [abstract]
399. M. Faranoush, M. Torabi-Nami, A. Mehrvar, A. HedayatiAsl, M. Tashvighi, R. Ravan Parsa, M. Fazeli, B. Sobuti, N. Mehrvar, A. Jafarpour, R. Zangooei, M. Alebouyeh, MR. A.Dehaqani, A-H. Vahabie and P. Vossough,
Classifying Pediatric Central Nervous System Tumors through near Optimal Feature Selection and Mutual Information: A Single Center Cohort,
Middle East Journal of Cancer 4(2013), 153-162 [abstract]
400. Z. Sadeghi, M. Nili Ahmadabadi and B. Nadjar Araabi,
Unsupervised Categorization of Objects into Artificial and Natural Superordinate Classes Using Features from Low-Level Vision,
International Journal of Image processing (IJIP) 7(2013), 339-352 [abstract]
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