Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model. - Maryam Gholami Doborjeh; Elisa Capecci; Nikola K. Kasabov (EALS, 2014)

Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data. - Maryam Gholami Doborjeh; Nikola K. Kasabov (ICONIP (4), 2015)

Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine. - Zohreh Gholami Doborjeh; Maryam Gholami Doborjeh; Nikola K. Kasabov (ICONIP (4), 2016)

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. - Hideaki Kawano; Akinori Seo; Zohreh Gholami Doborjeh; Nikola K. Kasabov; Maryam Gholami Doborjeh (ICONIP (4), 2016)

Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system. - Maryam Gholami Doborjeh; Nikola K. Kasabov (IJCNN, 2016)

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. - 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 003; et al. (Neural Networks, 2016)

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. - Maryam Gholami Doborjeh; Grace Y. Wang; Nikola K. Kasabov; Robert Kydd; Bruce Russell (IEEE Trans. Biomed. Eng., 2016)

EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube. - Yuma Omori; Hideaki Kawano; Akinori Seo; Zohreh Gholami Doborjeh; Nikola K. Kasabov; Maryam Gholami Doborjeh (ICONIP (4), 2017)

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. - Nikola K. Kasabov; Lei Zhou 003; Maryam Gholami Doborjeh; Zohreh Gholami Doborjeh; Jie Yang 002 (IEEE Trans. Cogn. Dev. Syst., 2017)

Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks. - Nikola K. Kasabov; Maryam Gholami Doborjeh; Zohreh Gholami Doborjeh (IEEE Trans. Neural Networks Learn. Syst., 2017)

EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes. - Zohreh Gholami Doborjeh; Maryam Gholami Doborjeh; Nikola K. Kasabov (IJCNN, 2018)

Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data. - Zohreh Gholami Doborjeh; Maryam Gholami Doborjeh; Nikola K. Kasabov (Cogn. Comput., 2018)

Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data. - Maryam Gholami Doborjeh; Nikola K. Kasabov; Zohreh Gholami Doborjeh (Evol. Syst., 2018)

Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression. - Dhvani Shah; Grace Y. Wang; Maryam Doborjeh; Zohreh Gholami Doborjeh; Nikola K. Kasabov (ICONIP (3), 2019)

Personalised modelling with spiking neural networks integrating temporal and static information. - Maryam Doborjeh; Nikola K. Kasabov; Zohreh Gholami Doborjeh; Reza Enayatollahi; Enmei Tu; Amir H. Gandomi (Neural Networks, 2019)

Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. - Sugam Budhraja; Basabdatta Sen Bhattacharya; Simon Durrant; Zohreh Gholami Doborjeh; Maryam Gholami Doborjeh; Nikola K. Kasabov (IJCNN, 2020)

Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture. - Zohreh Gholami Doborjeh; Maryam 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 (Sensors, 2020)

Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture. - Wael Alzhrani; Maryam Doborjeh; Zohreh Gholami Doborjeh; Nikola K. Kasabov (IJCNN, 2021)

A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics. - Grant D. Searchfield; Philip J. Sanders; Zohreh Gholami Doborjeh; Maryam Doborjeh; Roger Boldu; Kevin Sun 004; Amit Barde (Frontiers Digit. Health, 2021)

Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. - Maryam 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; et al. (Neural Networks, 2021)

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network. - Maryam Doborjeh; Zohreh Gholami Doborjeh; Nikola K. Kasabov; Molood Barati; Grace Y. Wang (Sensors, 2021)

Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke. - Maryam Doborjeh; Zohreh Gholami Doborjeh; Alexander Merkin; Rita Krishnamurthi; Reza Enayatollahi; Valery Feigin; Nikola K. Kasabov (Cogn. Comput., 2022)

Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis. - Sugam Budhraja; Balkaran Singh; Maryam Doborjeh; Zohreh Gholami Doborjeh; Samuel Tan; Edmund M.-K. Lai; Wilson Wen Bin Goh; Nikola K. Kasabov (IJCNN, 2023)

Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment. - Mark Crook-Rumsey; Christina J. Howard; Zohreh Gholami Doborjeh; Maryam Doborjeh; Josafath Israel Espinosa Ramos; Nikola K. Kasabov; Alexander Sumich (Cogn. Comput., 2023)

Automated Road Defect and Anomaly Detection for Traffic Safety: A Systematic Review. - Munish Rathee; Boris Bacic; Maryam Doborjeh (Sensors, 2023)

Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning. - Maryam Doborjeh; Xiaoxu Liu; Zohreh Gholami Doborjeh; Yuanyuan Shen; Grant Searchfield; Philip J. Sanders; Grace Y. Wang; Alexander Sumich; Wei Qi Yan 001 (Sensors, 2023)

Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data. - Sugam Budhraja; Maryam Doborjeh; Balkaran Singh; Samuel Tan; Zohreh Gholami Doborjeh; Edmund M.-K. Lai; Alexander Merkin; Jimmy Lee; Wilson Wen Bin Goh; Nikola K. Kasabov (Briefings Bioinform., 2023)

Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images". - Cosimo Ieracitano; Mufti Mahmud; Maryam Doborjeh; Aimé Lay-Ekuakille (Sensors, 2023)

Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. - Nikola K. Kasabov; Yongyao Tan; Maryam Doborjeh; Enmei Tu; Jie Yang 002; Wilson Wen Bin Goh; Jimmy Lee (IEEE Trans. Fuzzy Syst., 2023)

Integrating Multimodal Spatiotemporal Brain Data with Spiking Neural Networks. - Maryam Doborjeh; Zien Huang; Zohreh Doborjeh (BI (2), 2024)

Neurocomputational Modelling of EEG Connectivity: Links Between Depression, Inflammation, and Gut-Microbiome. - Zohreh Doborjeh; Daniel lavin; Kirsty Hunter; Nadja Heym; Bryony Heasman; Maryam Doborjeh; Nikola K. Kasabov; Glen Gibson; Alexander Sumich (BI (1), 2024)

Loosely Coupled Oscillators as a Correlate of Behavioral Control Circuits Within the Central Complex of the Fruit Fly. - Saul Garnell; Mehmet Kerem Türkcan; Maryam Doborjeh; Brian H. Smith; Paul Szyszka (ICONIP (1), 2024)

Izhikevich Neurons in NeuCube for Longitudinal Data Classification. - Balkaran Singh; Sugam Budhraja; Maryam Doborjeh; Zohreh Doborjeh; Edmund M.-K. Lai; Nikola K. Kasabov (ICONIP (11), 2024)

Calming the Mind: Spiking Neural Networks Reveal How Havening Touch to Reduce Persistent Distress Attenuates Left Temporal Electroencephalographic Connectivity. - Alexander Sumich; Zohreh Doborjeh; Nadja Heym; Aroha Scott; Kirsty Hunter; Tony Burgess; Julie French; Mustafa Sarkar; Maryam Doborjeh; Nikola K. Kasabov (ICONIP (11), 2024)