“Papers of School of Cognitive Sciences”
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Facilitating the propagation of spiking activity in feedforward networks by including feedback,
PloS Comp. Bio. (2020), 1-27 [abstract]
92. M. Karimi, R. Ebrahimpour and N. Bagheri,
Object Categorization at the Higher Levels Do with More Neurons than Finer Levels and Takes Faster,
IEEE Access (2020), [abstract]
93. A. Ghazizadeh, M. Fakharian, A. Amini, W. Griggs, D. Leopold and O. Hikosaka,
Brain networks sensitive to object novelty, value, and their combination,
Cerebral Cortex (2020), 1-48 [abstract]
94. 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]
95. K. Akbarzadeh-Sherbaf, S. Safari and A. Vahabie,
A Digital Hardware Implementation of Spiking Neural Networks with Binary FORCE Training,
Neurocomputing (2020), 1-63 [abstract]
96. 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]
97. 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]
98. 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]
99. 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]
100. 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]
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