Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Maryam Gholami Doborjeh"'
Autor:
Priya Parmar, Henry Brodaty, Oleg N. Medvedev, Helena Bahrami, Zohreh Gholami Doborjeh, Susan Mahon, John D. Crawford, Kristan Kang, Nicole A. Kochan, Perminder S. Sachdev, Lynette J. Tippett, Nikola Kasabov, Valery L. Feigin, Maryam Gholami Doborjeh, Alexander Merkin, Rita Krishnamurthi
Publikováno v:
Journal of Affective Disorders. 264:7-14
Background Depression is a common problem in older adults. The 15-item Geriatric Depression Scale (GDS-15) is a widely used psychometric tool for measuring depression in the elderly, but its psychometric properties have not been yet rigorously invest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7c6c1fb33771a6b6e5db050d2185834
https://doi.org/10.1016/j.jad.2019.11.100
https://doi.org/10.1016/j.jad.2019.11.100
Autor:
Henry Brodaty, Helena Bahrami, Oleg N. Medvedev, Perminder S. Sachdev, Mark Crook-Rumsey, Kristan Kang, Valery L. Feigin, Rita Krishnamurthi, Maryam Gholami Doborjeh, Alexander Merkin, Nikola Kasabov, Zohreh Gholami Doborjeh, Wei Wen, Catherine Morgan, Alexander Sumich, Ian J. Kirk
Background: Longitudinal neuroimaging provides spatiotemporal brain data (STBD) measurement that can be utilised to understand dynamic changes in brain structure and/or function underpinning cognitive activities. Making sense of such highly interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad0412b9e98241bebfb6e7acb14b97f5
https://irep.ntu.ac.uk/id/eprint/44597/1/1481497_Sumich.pdf
https://irep.ntu.ac.uk/id/eprint/44597/1/1481497_Sumich.pdf
Publikováno v:
IJCNN
This paper is in the scope of emotion recognition by employing a recurrent spiking neural network (BI-SNN) architecture for modelling, mapping, learning, classifying, visualising, and understanding of spatio-temporal Electroencephalogram (EEG) data r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::185d535c92f4c3b7bf1fa644e02eb326
https://doi.org/10.1109/ijcnn52387.2021.9533368
https://doi.org/10.1109/ijcnn52387.2021.9533368
Autor:
Molood Barati, Maryam Gholami Doborjeh, Nikola Kasabov, Grace Y. Wang, Zohreh Gholami Doborjeh
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4900, p 4900 (2021)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4900, p 4900 (2021)
Sensors
Volume 21
Issue 14
The paper proposes a new method for deep learning and knowledge discovery in a brain-inspired Spiking Neural Networks (SNN) architecture that enhances the model’s explainability while learning from streaming spatiotemporal brain data (STBD) in an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::066cc10b41a0e9a6c45281916f6864ca
http://europepmc.org/articles/PMC8309947
http://europepmc.org/articles/PMC8309947
Autor:
Enmei Tu, Reza Enayatollahi, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Amir H. Gandomi, Nikola Kasabov
Publikováno v:
Neural Networks. 119:162-177
This paper proposes a new personalised prognostic/diagnostic system that supports classification, prediction and pattern recognition when both static and dynamic/spatiotemporal features are presented in a dataset. The system is based on a proposed cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc212f9e2543907720e3e47633c9d87
https://doi.org/10.1016/j.neunet.2019.07.021
https://doi.org/10.1016/j.neunet.2019.07.021
Autor:
Grace Y. Wang, Zohreh Gholami Doborjeh, Nikola Kasabov, Maryam Gholami Doborjeh, Tamasin Taylor, Richard J. Siegert, Alexander Sumich
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-15 (2019)
There has been substantial interest in Mindfulness Training (MT) to understand how it can benefit healthy individuals as well as people with a broad range of health conditions. Research has begun to delineate associated changes in brain function. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8a63a72bfeafbbe2f919d23da509843
http://link.springer.com/article/10.1038/s41598-019-42863-x
http://link.springer.com/article/10.1038/s41598-019-42863-x
Autor:
Maryam Gholami Doborjeh, Mithila Durai, Philip J. Sanders, Nikola Kasabov, Anne Wendt, Grant D. Searchfield, Zohreh Gholami Doborjeh
Publikováno v:
Progress in Brain Research ISBN: 9780128215869
Masking has been widely used as a tinnitus therapy, with large individual differences in its effectiveness. The basis of this variation is unknown. We examined individual tinnitus and psychological responses to three masking types, energetic masking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::003f3521b2dda9ddacd1efe15270f07d
https://doi.org/10.1016/bs.pbr.2020.08.003
https://doi.org/10.1016/bs.pbr.2020.08.003
Autor:
Alexander Sumich, Maryam Gholami Doborjeh, Nikola Kasabov, Christian U. Krägeloh, Zohreh Gholami Doborjeh, Grace Y. Wang, Wendy Wrapson, Tamasin Taylor, Richard J. Siegert, Mark Crook-Rumsey, Grant D. Searchfield, David Moreau
Publikováno v:
Sensors, Vol 20, Iss 7354, p 7354 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 24
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 24
Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet the specific underlying neurophysiological mechanisms underpinning these changes are uncertain. This study uses a novel brain-inspired artificial neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b8a520a05e9342b17a8752d8211b6a
https://www.mdpi.com/1424-8220/20/24/7354
https://www.mdpi.com/1424-8220/20/24/7354
Autor:
Zohreh Gholami Doborjeh, Simon J. Durrant, Nikola Kasabov, Maryam Gholami Doborjeh, Sugam Budhraja, Basabdatta Sen Bhattacharya
Publikováno v:
IJCNN
This paper studies sleep stage classification using NeuCube, a Spiking Neural Network (SNN) architecture, simulated on SpiNNaker, a neuromorphic computer. The sleep electroencephalogram (EEG) time series is converted to spikes and provided as an inpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::624d12046b06de908dd4f9c693b56a61
https://doi.org/10.1109/ijcnn48605.2020.9207369
https://doi.org/10.1109/ijcnn48605.2020.9207369
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 9:293-303
This paper argues that, the third generation of neural networks—the spiking neural networks (SNNs), can be used to model dynamic, spatio-temporal, cognitive brain processes measured as functional magnetic resonance imaging (fMRI) data. This paper p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::776dee4300f93cc4ba49152e6fb1010d
https://doi.org/10.1109/tcds.2016.2636291
https://doi.org/10.1109/tcds.2016.2636291