Soheila Nazari

20 papers Journal 20
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel approach for visual and semantic image reconstruction from brain activity.
Array
Fatemeh Kalantari, Karim Faez, Hamidreza Amindavar, Soheila Nazari
2024 J jnl
A Novel Training Approach in Deep Spiking Neural Network Based on Fuzzy Weighting and Meta-heuristic Algorithm.
Int. J. Comput. Intell. Syst.
Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti
2024 J jnl
An IoT-based packet aggregation mechanism for the SDN-based wide area networks.
Comput. Networks
Nader Kazemi, Reza Ghaderi, Soheila Nazari
2024 J jnl
Efficient hardware design of spiking neurons and unsupervised learning module in large scale pattern classification network.
Eng. Appl. Artif. Intell.
Masoud Amiri, Soheila Nazari
2023 J jnl
A Novel Unsupervised Spatial-Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network.
Cogn. Comput.
Masoud Amiri, Amir Homayoun Jafari, Bahador Makkiabadi, Soheila Nazari
2023 J jnl
A novel learning approach in deep spiking neural networks with multi-objective optimization algorithms for automatic digit speech recognition.
J. Supercomput.
Melika Hamian, Karim Faez, Soheila Nazari, Malihe Sabeti
2023 J jnl
A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks.
Inf. Sci.
Masoud Amiri, Amir Homayoun Jafari, Bahador Makkiabadi, Soheila Nazari, Marc M. Van Hulle
2023 J jnl
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation.
IEEE Access
Ali Karimi, Karim Faez, Soheila Nazari
2023 J jnl
Designing Very Fast and Accurate Convolutional Neural Networks With Application in ICD and Smart Electrocardiograph Devices.
IEEE Access
Alireza Keyanfar, Reza Ghaderi, Soheila Nazari, Behzad Hajimoradi, Leila Kamalzadeh
2022 J jnl
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition.
Eng. Appl. Artif. Intell.
Soheila Nazari, Alireza Keyanfar, Marc M. Van Hulle
2020 J jnl
Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance.
IEEE Trans. Neural Networks Learn. Syst.
Soheila Nazari, Masoud Amiri, Karim Faez, Marc M. Van Hulle
2019 J jnl
Digital realization of the proposed linear model of the Hodgkin-Huxley neuron.
Int. J. Circuit Theory Appl.
Masoud Amiri, Soheila Nazari, Karim Faez
2019 J jnl
Empowering the impaired astrocytes in the tripartite synapses to improve accuracy of pattern recognition.
Soft Comput.
Soheila Nazari, Karim Faez
2019 J jnl
Establishing the flow of information between two bio-inspired spiking neural networks.
Inf. Sci.
Soheila Nazari, Karim Faez
2019 J jnl
Novel systematic mathematical computation based on the spiking frequency gate (SFG): Innovative organization of spiking computer.
Inf. Sci.
Soheila Nazari, Karim Faez
2019 J jnl
Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning.
Neurocomputing
Soheila Nazari, Karim Faez
2018 J jnl
A new approach to detect the coding rule of the cortical spiking model in the information transmission.
Neural Networks
Soheila Nazari, Karim Faez, Mahyar Janahmadi
2017 J jnl
A multiplier-less digital design of a bio-inspired stimulator to suppress synchronized regime in a large-scale, sparsely connected neural network.
Neural Comput. Appl.
Soheila Nazari, Karim Faez, Mahmood Amiri
2015 J jnl
A digital implementation of neuron-astrocyte interaction for neuromorphic applications.
Neural Networks
Soheila Nazari, Karim Faez, Mahmood Amiri, Ehsan Karami
2015 J jnl
Multiplier-less digital implementation of neuron-astrocyte signalling on FPGA.
Neurocomputing
Soheila Nazari, Masoud Amiri, Karim Faez, Mahmood Amiri