Ahmed A. Moustafa
Orcid: 0000-0001-5971-273X
According to our database1,
Ahmed A. Moustafa
authored at least 33 papers
between 2007 and 2024.
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Bibliography
2024
Enhancing Diagnostic Accuracy by Bypassing Traditional Imputation and Leveraging Missing Data in Alzheimer's Disease Detection Models.
Proceedings of the 2024 8th International Conference on Information System and Data Mining, 2024
2023
Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023
A Reinforcement Learning Model of Temporal Difference Variations for Action-Selection and Action-Execution in the Human Brain.
Proceedings of the International Conference on Information Technology, 2023
A Neurocomputational Analysis Review of Dorsolateral Prefrontal Cortex rTMS Treatments of Neurological Disorder.
Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics, 2023
2022
A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection.
Neural Networks, 2022
A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification.
Frontiers Artif. Intell., 2022
A Nonsynaptic Memory Based Neural Network for Hand-Written Digit Classification Using an Explainable Feature Extraction Method.
Proceedings of the ICISDM 2022: 2022 the 6th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2022
2021
Frontiers Comput. Neurosci., 2021
2020
Frontiers Comput. Neurosci., 2020
Frontiers Comput. Sci., 2020
Proceedings of the ICSIM '20: The 3rd International Conference on Software Engineering and Information Management, 2020
2019
Frontiers Comput. Neurosci., 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Frontiers Comput. Neurosci., 2018
Molecular Docking and Dynamic Simulation of AZD3293 and Solanezumab Effects Against BACE1 to Treat Alzheimer's Disease.
Frontiers Comput. Neurosci., 2018
2017
Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study.
Neural Networks, 2017
Neural Networks, 2017
Sparse and burst spiking in artificial neural networks inspired by synaptic retrograde signaling.
Inf. Sci., 2017
Combined Computational Systems Biology and Computational Neuroscience Approaches Help Develop of Future "Cognitive Developmental Robotics".
Frontiers Neurorobotics, 2017
Pharmacoinformatics exploration of polyphenol oxidases leading to novel inhibitors by virtual screening and molecular dynamic simulation study.
Comput. Biol. Chem., 2017
2016
Frontiers Comput. Neurosci., 2016
2015
Impaired homeostatic regulation of feedback inhibition associated with system deficiency to detect fluctuation in stimulus intensity: a simulation study.
Neurocomputing, 2015
On the relationship among different motor processes: a computational modeling approach.
Frontiers Comput. Neurosci., 2015
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making.
Frontiers Comput. Neurosci., 2015
2014
Freezing of gait and response conflict in Parkinson's disease: computational directions.
Frontiers Comput. Neurosci., 2014
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning.
Frontiers Comput. Neurosci., 2014
2013
Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease.
Frontiers Comput. Neurosci., 2013
A computational model of altered gait patterns in Parkinson's Disease patients negotiating narrow doorways.
Frontiers Comput. Neurosci., 2013
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models.
Frontiers Comput. Neurosci., 2013
Frontiers Comput. Neurosci., 2013
2011
Computational cognitive models of prefrontal-striatal-hippocampal interactions in Parkinson's disease and schizophrenia.
Neural Networks, 2011
A Neurocomputational Model of Dopamine and Prefrontal-Striatal Interactions during Multicue Category Learning by Parkinson Patients.
J. Cogn. Neurosci., 2011
2007
Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia.
Cogn. Syst. Res., 2007