Maryam Doborjeh
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Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
N Kasabov, NM Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ...
Neural Networks 78, 1-14, 2016
Artificial intelligence: a systematic review of methods and applications in hospitality and tourism
Z Doborjeh, N Hemmington, M Doborjeh, N Kasabov
International Journal of Contemporary Hospitality Management 34 (3), 1154-1176, 2022
Mapping, learning, visualization, classification, and understanding of fMRI data in the NeuCube evolving spatiotemporal data machine of spiking neural networks
NK Kasabov, MG Doborjeh, ZG Doborjeh
IEEE transactions on neural networks and learning systems 28 (4), 887-899, 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
MG Doborjeh, GY Wang, NK Kasabov, R Kydd, B Russell
IEEE transactions on biomedical engineering 63 (9), 1830-1841, 2015
Modelling peri-perceptual brain processes in a deep learning spiking neural network architecture
Z Gholami Doborjeh, N Kasabov, M Gholami Doborjeh, A Sumich
Scientific reports 8 (1), 8912, 2018
Attentional bias pattern recognition in spiking neural networks from spatio-temporal EEG data
Z Gholami Doborjeh, MG Doborjeh, N Kasabov
Cognitive Computation 10, 35-48, 2018
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
N Kasabov, L Zhou, MG Doborjeh, ZG Doborjeh, J Yang
IEEE Transactions on Cognitive and Developmental Systems 9 (4), 293-303, 2016
Spiking neural network modelling approach reveals how mindfulness training rewires the brain
Z Doborjeh, M Doborjeh, T Taylor, N Kasabov, GY Wang, R Siegert, ...
Scientific reports 9 (1), 6367, 2019
Classification and segmentation of fMRI spatio-temporal brain data with a NeuCube evolving spiking neural network model
MG Doborjeh, E Capecci, N Kasabov
2014 IEEE symposium on evolving and autonomous learning systems (EALS), 73-80, 2014
Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework
N Kasabov, N Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ...
Neural Networks 78 (2016)), 1-14, 2016
Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data
MG Doborjeh, N Kasabov, ZG Doborjeh
Evolving systems 9, 195-211, 2018
Deep learning of eeg data in the neucube brain-inspired spiking neural network architecture for a better understanding of depression
D Shah, GY Wang, M Doborjeh, Z Doborjeh, N Kasabov
Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019
A state-of-art review of digital technologies for the next generation of tinnitus therapeutics
GD Searchfield, PJ Sanders, Z Doborjeh, M Doborjeh, R Boldu, K Sun, ...
Frontiers in digital health 3, 724370, 2021
Interpretability of spatiotemporal dynamics of the brain processes followed by mindfulness intervention in a brain-inspired spiking neural network architecture
Z Doborjeh, M Doborjeh, M Crook-Rumsey, T Taylor, GY Wang, D Moreau, ...
Sensors 20 (24), 7354, 2020
Dynamic 3D clustering of spatio-temporal brain data in the NeuCube spiking neural network architecture on a case study of fMRI data
MG Doborjeh, N Kasabov
Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia
M Doborjeh, Z Doborjeh, A Merkin, H Bahrami, A Sumich, ...
Neural Networks 144, 522-539, 2021
Prediction of tinnitus masking benefit within a case series using a spiking neural network model
M Durai, P Sanders, Z Doborjeh, M Doborjeh, A Wendt, N Kasabov, ...
Progress in Brain Research 260, 129-165, 2021
Prediction of acoustic residual inhibition of tinnitus using a brain-inspired spiking neural network model
PJ Sanders, ZG Doborjeh, MG Doborjeh, NK Kasabov, GD Searchfield
Brain Sciences 11 (1), 52, 2021
New avenue for the geriatric depression scale: Rasch transformation enhances reliability of assessment
AG Merkin, ON Medvedev, PS Sachdev, L Tippett, R Krishnamurthi, ...
Journal of Affective Disorders 264, 7-14, 2020
Prediction of tinnitus treatment outcomes based on EEG sensors and TFI score using deep learning
M Doborjeh, X Liu, Z Doborjeh, Y Shen, G Searchfield, P Sanders, ...
Sensors 23 (2), 902, 2023
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