Multiplier-less digital implementation of neuron-astrocyte signalling on FPGA. - Soheila Nazari; Masoud Amiri; Karim Faez; Mahmood Amiri (Neurocomputing, 2015)

A digital implementation of neuron-astrocyte interaction for neuromorphic applications. - Soheila Nazari; Karim Faez; Mahmood Amiri; Ehsan Karami (Neural Networks, 2015)

A multiplier-less digital design of a bio-inspired stimulator to suppress synchronized regime in a large-scale, sparsely connected neural network. - Soheila Nazari; Karim Faez; Mahmood Amiri (Neural Comput. Appl., 2017)

A new approach to detect the coding rule of the cortical spiking model in the information transmission. - Soheila Nazari; Karim Faez; Mahyar Janahmadi (Neural Networks, 2018)

Digital realization of the proposed linear model of the Hodgkin-Huxley neuron. - Masoud Amiri; Soheila Nazari; Karim Faez (Int. J. Circuit Theory Appl., 2019)

Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning. - Soheila Nazari; Karim Faez (Neurocomputing, 2019)

Novel systematic mathematical computation based on the spiking frequency gate (SFG): Innovative organization of spiking computer. - Soheila Nazari; Karim Faez (Inf. Sci., 2019)

Establishing the flow of information between two bio-inspired spiking neural networks. - Soheila Nazari; Karim Faez (Inf. Sci., 2019)

Empowering the impaired astrocytes in the tripartite synapses to improve accuracy of pattern recognition. - Soheila Nazari; Karim Faez (Soft Comput., 2019)

Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance. - Soheila Nazari; Masoud Amiri; Karim Faez; Marc M. Van Hulle (IEEE Trans. Neural Networks Learn. Syst., 2020)

Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition. - Soheila Nazari; Alireza Keyanfar; Marc M. Van Hulle (Eng. Appl. Artif. Intell., 2022)

DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation. - Ali Karimi; Karim Faez; Soheila Nazari (IEEE Access, 2023)

Designing Very Fast and Accurate Convolutional Neural Networks With Application in ICD and Smart Electrocardiograph Devices. - Alireza Keyanfar; Reza Ghaderi; Soheila Nazari; Behzad Hajimoradi; Leila Kamalzadeh (IEEE Access, 2023)

A Novel Unsupervised Spatial-Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network. - Masoud Amiri; Amir Homayoun Jafari; Bahador Makkiabadi; Soheila Nazari (Cogn. Comput., 2023)

A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks. - Masoud Amiri; Amir Homayoun Jafari; Bahador Makkiabadi; Soheila Nazari; Marc M. Van Hulle (Inf. Sci., 2023)

A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition. - Melika Hamian; Karim Faez; Soheila Nazari; Malihe Sabeti (J. Supercomput., 2023)

An IoT-based packet aggregation mechanism for the SDN-based wide area networks. - Nader Kazemi; Reza Ghaderi; Soheila Nazari (Comput. Networks, 2024)

Efficient hardware design of spiking neurons and unsupervised learning module in large scale pattern classification network. - Masoud Amiri; Soheila Nazari (Eng. Appl. Artif. Intell., 2024)

A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm. - Melika Hamian; Karim Faez; Soheila Nazari; Malihe Sabeti (Int. J. Comput. Intell. Syst., 2024)