“Papers of School of Cognitive Sciences”
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Brain networks sensitive to object novelty, value, and their combination,
Cerebral Cortex (2020), 1-48 [abstract]
232. M. Khamechian and M. Daliri,
Decoding Adaptive Visuomotor Behavior Mediated by Non-linear Phase Coupling in Macaque Area MT,
Frontiers in Neuroscience (2020), 1-16 [abstract]
233. K. Akbarzadeh-Sherbaf, S. Safari and A-H. Vahabie,
A Digital Hardware Implementation of Spiking Neural Networks with Binary FORCE Training,
Neurocomputing (2020), 1-63 [abstract]
234. M. Allegra, S. Seyed-Allaei, N. Schuck, D. Amati, A. Laio and C. Reverberi,
Brain network dynamics during spontaneous strategy shifts and incremental task optimization,
NeuroImage (2020), 1-45 [abstract]
235. E. Bolhasani, Y. Azizi, D. Abdollahpour, J. Amjad and M. Perc,
Control of dynamics via identical time-lagged stochastic inputs,
Chaos 30(2020), 1-14 [abstract]
236. A. Sarabi-Jamab and Babak. Nadjar Arabi,
An information-based approach to handle various types of uncertainty in fuzzy bodies of evidence,
Plos One (2020), 1-13 [abstract]
237. L. Khatami, V. Safari and F. Motamedi,
Temporary inactivation of interpeduncular nucleus impairs long but not short term plasticity in the perforant-path dentate gyrus synapses in rats,
Behavioural Brain Research 337(2020), [abstract]
238. V. Malekian, A. Moghaddam, A. Akhavan and GH. Hossein-Zadeh,
Efficient de-noising of high-resolution fMRI using local and sub-band information,
Journal of Neuroscience Methods 331(2020), 1-10 [abstract]
239. M. Tohidi-Moghaddam, S. Zabbah, F. Olianezhad and R. Ebrahimpour,
Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap,
Attention, Perception, & Psychophysics 81(2019), [abstract]
240. S. Khaligh-Razavi, S. Habibi, M. Sadeghi, H. Marefat, M. Khanbagi, S. Nabavi, E. Sadeghi and CH. Kalafatis,
Integrated Cognitive Assessment: Speed and Accuracy of Visual Processing as a Reliable Proxy to Cognitive Performance,
Scientific Reports 9(2019), [abstract]
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