| A digital implementation of neuron–astrocyte interaction for neuromorphic applications S Nazari, K Faez, M Amiri, E Karami Neural Networks 66, 79-90, 2015 | 68 | 2015 |
| Multiplier-less digital implementation of neuron–astrocyte signalling on FPGA S Nazari, M Amiri, K Faez, M Amiri Neurocomputing 164, 281-292, 2015 | 64 | 2015 |
| A digital neurmorphic circuit for a simplified model of astrocyte dynamics S Nazari, K Faez, E Karami, M Amiri Neuroscience letters 582, 21-26, 2014 | 35 | 2014 |
| Digital realization of the proposed linear model of the H odgkin‐H uxley neuron M Amiri, S Nazari, K Faez International Journal of Circuit Theory and Applications 47 (3), 483-497, 2019 | 25 | 2019 |
| A novel digital implementation of neuron–astrocyte interactions S Nazari, K Faez, M Amiri, E Karami Journal of Computational Electronics 14, 227-239, 2015 | 25 | 2015 |
| Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning S Nazari Neurocomputing 330, 196-211, 2019 | 21 | 2019 |
| Information transmitted from bioinspired neuron–astrocyte network improves cortical spiking network’s pattern recognition performance S Nazari, M Amiri, K Faez, MM Van Hulle IEEE transactions on neural networks and learning systems 31 (2), 464-474, 2019 | 18 | 2019 |
| Function approximation by hardware spiking neural network E Zaman Farsa, S Nazari, M Gholami Journal of Computational Electronics 14, 707-716, 2015 | 14 | 2015 |
| Digital configuration of astrocyte stimulation as a new technique to strengthen the impaired astrocytes in the tripartite synapse network M Amiri, S Nazari, M Janahmadi Journal of Computational Electronics 17, 1382-1398, 2018 | 13 | 2018 |
| A new approach to detect the coding rule of the cortical spiking model in the information transmission S Nazari, K Faez, M Janahmadi Neural Networks 99, 68-78, 2018 | 13 | 2018 |
| The diagnostic value of impedance imaging system in patients with breast mass E Shobiri, M Amiri, MJ Haghighat, M Piri, B Izadi, S Nazari, M Amiri, ... Journal of Kermanshah University of Medical Sciences 19 (7), 2016 | 13 | 2016 |
| A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks M Amiri, AH Jafari, B Makkiabadi, S Nazari, MM Van Hulle Information Sciences 622, 1-15, 2023 | 10 | 2023 |
| Establishing the flow of information between two bio-inspired spiking neural networks S Nazari, K Faez Information Sciences 477, 80-99, 2019 | 10 | 2019 |
| A new bio-inspired stimulator to suppress hyper-synchronized neural firing in a cortical network M Amiri, M Amiri, S Nazari, K Faez Journal of Theoretical Biology 410, 107-118, 2016 | 8 | 2016 |
| A novel digital circuit for astrocyte-inspired stimulator to desynchronize two coupled oscillators S Nazari, M Amiri, K Faez, E Karami 2014 21th Iranian Conference on Biomedical Engineering (ICBME), 80-85, 2014 | 8 | 2014 |
| Recognizing intertwined patterns using a network of spiking pattern recognition platforms M Amiri, AH Jafari, B Makkiabadi, S Nazari Scientific Reports 12 (1), 19436, 2022 | 7 | 2022 |
| Novel systematic mathematical computation based on the spiking frequency gate (SFG): Innovative organization of spiking computer S Nazari, K Faez Information Sciences 474, 221-235, 2019 | 7 | 2019 |
| Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition S Nazari, A Keyanfar, MM Van Hulle Engineering Applications of Artificial Intelligence 116, 105430, 2022 | 6 | 2022 |
| A multiplier-less digital design of a bio-inspired stimulator to suppress synchronized regime in a large-scale, sparsely connected neural network S Nazari, K Faez, M Amiri Neural Computing and Applications 28, 375-390, 2017 | 6 | 2017 |
| Empowering the impaired astrocytes in the tripartite synapses to improve accuracy of pattern recognition S Nazari, K Faez Soft Computing 23, 8307-8319, 2019 | 4 | 2019 |
karim faezProfessor of EE Department, Amirkabir University of Technology, Tehran, Iran在 aut.ac.ir 的电子邮件经过验证
karim faezProfessor of EE Department, Amirkabir University of Technology, Tehran, Iran在 aut.ac.ir 的电子邮件经过验证