Maryam Gholami Doborjeh

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 26

Top Topics

Cognitive Processes

Top Venues

Publications

Maryam Gholami Doborjeh, Xiaoxu Liu, Zohreh Gholami Doborjeh, Yuanyuan Shen, Grant Searchfield, Philip J. Sanders, Grace Y. Wang, Alexander Sumich, Wei Qi Yan
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning. Sensors 23 (2) (2023)
Sugam Budhraja, Balkaran Singh, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Samuel Tan, Edmund Lai, Wilson Wen Bin Goh, Nikola K. Kasabov
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. IJCNN (2023)
Nikola K. Kasabov, Yongyao Tan, Maryam Gholami Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee
Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Mark Crook-Rumsey, Christina J. Howard, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Josafath Israel Espinosa Ramos, Nikola K. Kasabov, Alexander Sumich
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. Cogn. Comput. 15 (4) (2023)
Munish Rathee, Boris Bacic, Maryam Gholami Doborjeh
Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review. Sensors 23 (12) (2023)
Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Rita Krishnamurthi, Reza Enayatollahi, Valery Feigin, Nikola K. Kasabov
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. Cogn. Comput. 14 (6) (2022)
Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Helena Bahrami, Alexander Sumich, Rita Krishnamurthi, Oleg N. Medvedev, Mark Crook-Rumsey, Catherine Morgan, Ian J. Kirk, Perminder S. Sachdev, Henry Brodaty, Kristan Kang, Wei Wen, Valery Feigin, Nikola K. Kasabov
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. Neural Networks 144 (2021)
Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Molood Barati, Grace Y. Wang
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. Sensors 21 (14) (2021)
Wael Alzhrani, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. IJCNN (2021)
Grant D. Searchfield, Philip J. Sanders, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Roger Boldu, Kevin Sun, Amit Barde
A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics. Frontiers Digit. Health 3 (2021)
Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Mark Crook-Rumsey, Tamasin Taylor, Grace Y. Wang, David Moreau, Christian U. Krägeloh, Wendy Wrapson, Richard J. Siegert, Nikola K. Kasabov, Grant Searchfield, Alexander Sumich
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. Sensors 20 (24) (2020)
Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. IJCNN (2020)
Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks 119 (2019)
Dhvani Shah, Grace Y. Wang, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Nikola K. Kasabov
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. ICONIP (3) (2019)
Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data. Cogn. Comput. 10 (1) (2018)
Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. IJCNN (2018)
Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data. Evol. Syst. 9 (3) (2018)
Nikola K. Kasabov, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh
Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Yuma Omori, Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Maryam Gholami Doborjeh
EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube. ICONIP (4) (2017)
Nikola K. Kasabov, Lei Zhou, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Jie Yang
New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modeling and Understanding of Dynamic Cognitive Processes. IEEE Trans. Cogn. Dev. Syst. 9 (4) (2017)
Nikola K. Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78 (2016)
Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov
Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine. ICONIP (4) (2016)
Maryam Gholami Doborjeh, Nikola K. Kasabov
Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. IJCNN (2016)
Maryam Gholami Doborjeh, Grace Y. Wang, Nikola K. Kasabov, Robert Kydd, Bruce Russell
A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects. IEEE Trans. Biomed. Eng. 63 (9) (2016)
Hideaki Kawano, Akinori Seo, Zohreh Gholami Doborjeh, Nikola K. Kasabov, Maryam Gholami Doborjeh
Analysis of Similarity and Differences in Brain Activities Between Perception and Production of Facial Expressions Using EEG Data and the NeuCube Spiking Neural Network Architecture. ICONIP (4) (2016)
Maryam Gholami Doborjeh, Nikola K. Kasabov
Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data. ICONIP (4) (2015)
Maryam Gholami Doborjeh, Elisa Capecci, Nikola K. Kasabov
Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model. EALS (2014)