All Papers
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41. Z. Aram, S. Jafari, J. Ma, J. Sprott, S. Zendehrouh and VT. Pham,
Using chaotic artificial neural networks to model memory in the brain,
44(2017), 449-459  [abstract]   
Code: dx.doi.org/10.1016/j.cnsns.2016.08.025    
 
42. A. Sarabi-Jamab and B. Araabi,
Information-Based Evaluation of Approximation Methods in Dempster-Shafer Theory,
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24(2016), 503-535  [abstract]   
Code: doi: 10.1142/S0218488516500252    
 
43. H. Karimi-Rouzbahani, R. Ebrahimpour and N. Bagheri,
Role of Feed-forward ventral visual cortex in compensating for different variations in core object recognition,
in: 10th Federation of European Neuroscience (FENS), Copenhagen, Denmark, 2016., , 2016, pp.   [abstract]   
Code:    
 
44. M. Daliri, V. Kozyrev and S. Treue,
Attention enhances stimulus representations in macaque visual cortex without affecting their signal-to-noise level,
Scientific Reports (2016), 1-9  [abstract]   
Code:    
 
45. A. Tajik, A. Rezayof, Z. Ghasemzadeh and M. Sardari,
Activation of the dorsal hippocampal nicotinic acetylcholine receptors improves tamoxifen-induced memory retrieval impairment in adult female rats,
Neuroscience 327(2016), 1-7  [abstract]   
Code: doi: 10.1016/j.neuroscience.2016.04.008    
 
46. A. Pariz, S. Parsi and A. Valizadeh,
High frequency neuron can facilitate propagation of signal in neural networks,
in: BMC Neuroscience 2016, 17(Suppl 1):P42, , 2016, pp.   [abstract]   
Code:    
 
47. A. Goodarzinick, M. Niry and A. Valizadeh,
Scale-free functional networks of 2D Ising model are highly robust against structural defects: neuroscience implications,
in: BMC Neuroscience 2016, 17(Suppl 1):P41, , 2016, pp.   [abstract]   
Code:    
 
48. Z. Bahmani, M.R. Daliri, Y. Merrikhi, M. Parsa and B. Nodoost,
Maintenance of spatial information modulates beta rhythms within MT cortex,
in: Society for Neuroscience conference (SFN) 2016, , 2016, pp.   [abstract]   
Code:    
 
49. M.M. Sabri, M. Adibi and E. Arabzadeh,
Dynamics of Population Activity in Rat Sensory Cortex: Network Correlations Predict Anatomical Arrangement and Information Content,
Frontiers in Neural Circuits (2016), 1-14  [abstract]   
Code: dx.doi.org/10.3389/fncir.2016.00049    
 
50. S. Rashid Shomali, M. Nili Ahmadabadi, H. Shimazaki and S.N. Rasuli,
Exact spike-timing distribution and its usage in neural structure identification,
in: Statistical physics methods in biology and computer science (Satellite meeting of StatPhys 2016), Ecole Normale Superieure, Paris , July 13 2016, POSTER, , 2016, pp.   [abstract]   
Code:    
 

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