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ORCIDAhmed A. Moustafa
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2020 – today
- 2024
[c7]Hamzah Dabool
, Hany Alashwal, Ahmed A. Moustafa:
Enhancing Diagnostic Accuracy by Bypassing Traditional Imputation and Leveraging Missing Data in Alzheimer's Disease Detection Models. ICISDM 2024: 33-38- 2023
- [c6]Hany Alashwal, Julian Maciaszek, Dorota Frydecka, Blazej Misiak, Ahmed A. Moustafa:
A Neurocomputational Analysis Review of Dorsolateral Prefrontal Cortex rTMS Treatments of Neurological Disorder. ICCBB 2023: 85-90 - [c5]Ashar Y. Natsheh, Joman Y. Natsheh, Aya H. Mousa, Mahmoud H. Al-Saheb, Ahmed A. Moustafa, Mohammad M. Herzallah:
A Reinforcement Learning Model of Temporal Difference Variations for Action-Selection and Action-Execution in the Human Brain. ICIT 2023: 236-243 - [c4]Azam Shirrafiardekani, Hany Alashwal, Ahmed A. Moustafa:
Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study. ICMLC 2023: 165-171 - 2022
- [j26]Faramarz Faghihi, Hany Alashwal, Ahmed A. Moustafa:
A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification. Frontiers Artif. Intell. 5: 680165 (2022) - [j25]Faramarz Faghihi, Siqi Cai, Ahmed A. Moustafa:
A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection. Neural Networks 152: 555-565 (2022) - [c3]Faramarz Faghihi, Siqi Cai, Ahmed A. Moustafa, Hany Alashwal:
A Nonsynaptic Memory Based Neural Network for Hand-Written Digit Classification Using an Explainable Feature Extraction Method. ICISDM 2022: 69-75 - 2021
- [j24]Ankur Gupta, Rohini Bansal, Hany Alashwal, Anil Safak Kacar, Fuat Balci, Ahmed A. Moustafa:
Neural Substrates of the Drift-Diffusion Model in Brain Disorders. Frontiers Comput. Neurosci. 15: 678232 (2021) - 2020
- [j23]Hany Al Ashwal, Thierno M. O. Diallo, Richard Tindle, Ahmed A. Moustafa:
Latent Class and Transition Analysis of Alzheimer's Disease Data. Frontiers Comput. Sci. 2: 551481 (2020) - [j22]Mustafa Khalid, Jun Wu, Taghreed M. Ali, Thaair Ameen, Ali Salem Altaher, Ahmed A. Moustafa, Qiuguo Zhu, Rong Xiong:
Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks. Frontiers Comput. Neurosci. 14: 80 (2020) - [c2]Hany Al Ashwal, Areeg Abdalla, Mohamed El Halaby, Ahmed A. Moustafa:
Feature Selection for the Classification of Alzheimer's Disease Data. ICSIM 2020: 41-45
2010 – 2019
- 2019
- [j21]Hany Al Ashwal, Mohamed El Halaby, Jacob J. Crouse, Areeg Abdalla, Ahmed A. Moustafa:
The Application of Unsupervised Clustering Methods to Alzheimer's Disease. Frontiers Comput. Neurosci. 13: 31 (2019) - [c1]Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa:
Modelling Autobiographical Memory Loss across Life Span. AAAI 2019: 1368-1375 - 2018
- [j20]Mubashir Hassan, Saba Shahzadi, Sung-Yum Seo, Hany Al Ashwal, Nazar Zaki, Ahmed A. Moustafa:
Molecular Docking and Dynamic Simulation of AZD3293 and Solanezumab Effects Against BACE1 to Treat Alzheimer's Disease. Frontiers Comput. Neurosci. 12: 34 (2018) - [j19]Ahmed A. Moustafa, Thierno M. O. Diallo, Nicola Amoroso, Nazar Zaki, Mubashir Hassan, Hany Al Ashwal:
Applying Big Data Methods to Understanding Human Behavior and Health. Frontiers Comput. Neurosci. 12: 84 (2018) - 2017
- [j18]Mubashir Hassan, Qamar Abbas, Zaman Ashraf, Ahmed A. Moustafa, Sung-Yum Seo:
Pharmacoinformatics exploration of polyphenol oxidases leading to novel inhibitors by virtual screening and molecular dynamic simulation study. Comput. Biol. Chem. 68: 131-142 (2017) - [j17]Faramarz Faghihi, Ahmed A. Moustafa:
Combined Computational Systems Biology and Computational Neuroscience Approaches Help Develop of Future "Cognitive Developmental Robotics". Frontiers Neurorobotics 11: 63 (2017) - [j16]Faramarz Faghihi, Ahmed A. Moustafa:
Sparse and burst spiking in artificial neural networks inspired by synaptic retrograde signaling. Inf. Sci. 421: 30-42 (2017) - [j15]Faramarz Faghihi, Ahmed A. Moustafa, Ralf Heinrich, Florentin Wörgötter:
A computational model of conditioning inspired by Drosophila olfactory system. Neural Networks 87: 96-108 (2017) - [j14]Mustafa Zeki, Ahmed A. Moustafa:
Persistent irregular activity is a result of rebound and coincident detection mechanisms: A computational study. Neural Networks 90: 72-82 (2017) - 2016
- [j13]Ahmed A. Moustafa, Joseph Phillips, Szabolcs Kéri, Blazej Misiak, Dorota Frydecka:
On the Complexity of Brain Disorders: A Symptom-Based Approach. Frontiers Comput. Neurosci. 10: 16 (2016) - 2015
- [j12]Ahmed A. Moustafa:
On the relationship among different motor processes: a computational modeling approach. Frontiers Comput. Neurosci. 9: 34 (2015) - [j11]Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa:
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making. Frontiers Comput. Neurosci. 9: 76 (2015) - [j10]Faramarz Faghihi, Ahmed A. Moustafa:
Impaired homeostatic regulation of feedback inhibition associated with system deficiency to detect fluctuation in stimulus intensity: a simulation study. Neurocomputing 151: 1248-1254 (2015) - 2014
- [j9]Ahmed A. Moustafa:
Freezing of gait and response conflict in Parkinson's disease: computational directions. Frontiers Comput. Neurosci. 8: 7 (2014) - [j8]Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa:
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. 8: 47 (2014) - 2013
- [j7]Sébastien Hélie, V. Srinivasa Chakravarthy, Ahmed A. Moustafa:
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models. Frontiers Comput. Neurosci. 7: 174 (2013) - [j6]Claire O'Callaghan, Ahmed A. Moustafa, Sanne de Wit, James M. Shine, Trevor W. Robbins, Simon J. G. Lewis, Michael Hornberger:
Fronto-striatal gray matter contributions to discrimination learning in Parkinson's disease. Frontiers Comput. Neurosci. 7: 180 (2013) - [j5]Vignesh Muralidharan, Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Simon J. G. Lewis, Ahmed A. Moustafa:
A computational model of altered gait patterns in Parkinson's Disease patients negotiating narrow doorways. Frontiers Comput. Neurosci. 7: 190 (2013) - [j4]Samuel Gershman, Ahmed A. Moustafa, Elliot A. Ludvig:
Time representation in reinforcement learning models of the basal ganglia. Frontiers Comput. Neurosci. 7: 194 (2013) - 2011
- [j3]Ahmed A. Moustafa, Mark A. Gluck:
A Neurocomputational Model of Dopamine and Prefrontal-Striatal Interactions during Multicue Category Learning by Parkinson Patients. J. Cogn. Neurosci. 23(1): 151-167 (2011) - [j2]Ahmed A. Moustafa, Mark A. Gluck:
Computational cognitive models of prefrontal-striatal-hippocampal interactions in Parkinson's disease and schizophrenia. Neural Networks 24(6): 575-591 (2011)
2000 – 2009
- 2007
- [j1]Ahmed A. Moustafa, Anthony S. Maida:
Using TD learning to simulate working memory performance in a model of the prefrontal cortex and basal ganglia. Cogn. Syst. Res. 8(4): 262-281 (2007)
Coauthor Index
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