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Disambiguation of "Gholami Doborjeh, Maryam"

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Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture

, , , and . Scientific Reports, 8 (1): 8912-- (2018)
DOI: 10.1038/s41598-018-27169-8

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Maryam Gholami

Nourollah Gholami

Azam Gholami

Ahmad Gholami

Saloumeh Gholami

 

Other publications of authors with the same name

Classification and segmentation of fMRI Spatio-Temporal Brain Data with a NeuCube evolving Spiking Neural Network model., , and . EALS, page 73-80. IEEE, (2014)Evolving, dynamic clustering of spatio/spectro-temporal data in 3D spiking neural network models and a case study on EEG data., , and . Evol. Syst., 9 (3): 195-211 (2018)EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes., , and . IJCNN, page 1-7. IEEE, (2018)Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning., , , , , , , , and . Sensors, 23 (2): 902 (January 2023)Deep Learning of EEG Data in the NeuCube Brain-Inspired Spiking Neural Network Architecture for a Better Understanding of Depression., , , , and . ICONIP (3), volume 11955 of Lecture Notes in Computer Science, page 195-206. Springer, (2019)Spatiotemporal EEG Dynamics of Prospective Memory in Ageing and Mild Cognitive Impairment., , , , , , and . Cogn. Comput., 15 (4): 1273-1299 (2023)Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data., and . ICONIP (4), volume 9492 of Lecture Notes in Computer Science, page 191-198. Springer, (2015)Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture, , , and . Scientific Reports, 8 (1): 8912-- (2018)Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study., , , , , and . IJCNN, page 1-8. IEEE, (2020)Mapping, Learning, Visualization, Classification, and Understanding of fMRI Data in the NeuCube Evolving Spatiotemporal Data Machine of Spiking Neural Networks., , and . IEEE Trans. Neural Networks Learn. Syst., 28 (4): 887-899 (2017)