Maryam Gholami Doborjeh
Orcid: 0000-0003-4953-0662
According to our database1,
Maryam Gholami Doborjeh
authored at least 27 papers
between 2014 and 2023.
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Bibliography
2023
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., December, 2023
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning.
Sensors, January, 2023
Sensors, 2023
Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment.
Cogn. Comput., 2023
Mosaic LSM: A Liquid State Machine Approach for Multimodal Longitudinal Data Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Personalized Spiking Neural Network Models of Clinical and Environmental Factors to Predict Stroke.
Cogn. Comput., 2022
2021
Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network.
Sensors, 2021
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia.
Neural Networks, 2021
A State-of-Art Review of Digital Technologies for the Next Generation of Tinnitus Therapeutics.
Frontiers Digit. Health, 2021
Emotion Recognition and Understanding Using EEG Data in A Brain-Inspired Spiking Neural Network Architecture.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.
Sensors, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Personalised modelling with spiking neural networks integrating temporal and static information.
Neural Networks, 2019
Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data.
Evol. Syst., 2018
Attentional Bias Pattern Recognition in Spiking Neural Networks from Spatio-Temporal EEG Data.
Cogn. Comput., 2018
EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
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., 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.
IEEE Trans. Cogn. Dev. Syst., 2017
EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
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.
IEEE Trans. Biomed. Eng., 2016
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.
Neural Networks, 2016
Personalised modelling on integrated clinical and EEG Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 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.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Efficient Recognition of Attentional Bias Using EEG Data and the NeuCube Evolving Spatio-Temporal Data Machine.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model.
Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014