| A computational model of pattern separation efficiency in the dentate gyrus with implications in schizophrenia F Faghihi, AA Moustafa Frontiers in systems neuroscience 9, 42, 2015 | 49 | 2015 |
| A computational model of conditioning inspired by Drosophila olfactory system F Faghihi, AA Moustafa, R Heinrich, F Wörgötter Neural Networks 87, 96-108, 2017 | 29 | 2017 |
| SUMOylation of enzymes and ion channels in sensory neurons protects against metabolic dysfunction, neuropathy, and sensory loss in diabetes N Agarwal, FJ Taberner, DR Rojas, M Moroni, D Omberbasic, C Njoo, ... Neuron 107 (6), 1141-1159. e7, 2020 | 28 | 2020 |
| A synaptic pruning-based spiking neural network for hand-written digits classification F Faghihi, H Alashwal, AA Moustafa Frontiers in Artificial Intelligence 5, 680165, 2022 | 11 | 2022 |
| A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection F Faghihi, S Cai, AA Moustafa Neural Networks 152, 555-565, 2022 | 10 | 2022 |
| Impaired neurogenesis of the dentate gyrus is associated with pattern separation deficits: A computational study F Faghihi, AA Moustafa Journal of Integrative Neuroscience 15 (03), 277-293, 2016 | 10 | 2016 |
| An information theoretic model of information processing in the Drosophila olfactory system: the role of inhibitory neurons for system efficiency F Faghihi, C Kolodziejski, A Fiala, F Wörgötter, C Tetzlaff Frontiers in Computational Neuroscience 7, 183, 2013 | 10 | 2013 |
| Generalization of the dissimilarity measure of fuzzy sets F Faghihi International mathematical forum 2 (68), 3395-3400, 2007 | 10 | 2007 |
| Combined computational systems biology and computational neuroscience approaches help develop of future “cognitive developmental robotics” F Faghihi, AA Moustafa Frontiers in neurorobotics 11, 63, 2017 | 9 | 2017 |
| Computational models of olfaction in fruit flies A Gupta, F Faghihi, AA Moustafa Computational models of brain and behavior, 199-213, 2017 | 6 | 2017 |
| Toward one-shot learning in neuroscience-inspired deep spiking neural networks F Faghihi, H Molhem, AA Moustafa BioRxiv, 829556, 2019 | 5 | 2019 |
| The dependence of neuronal encoding efficiency on Hebbian plasticity and homeostatic regulation of neurotransmitter release F Faghihi, AA Moustafa Frontiers in cellular neuroscience 9, 164, 2015 | 5 | 2015 |
| Impaired homeostatic regulation of feedback inhibition associated with system deficiency to detect fluctuation in stimulus intensity: a simulation study F Faghihi, AA Moustafa Neurocomputing 151, 1248-1254, 2015 | 4 | 2015 |
| Sparse and burst spiking in artificial neural networks inspired by synaptic retrograde signaling F Faghihi, AA Moustafa Information Sciences 421, 30-42, 2017 | 3 | 2017 |
| A nonsynaptic memory based neural network for hand-written digit classification using an explainable feature extraction method F Faghihi, S Cai, A Moustafa, H Alashwal Proceedings of the 6th International Conference on Information System and …, 2022 | 2 | 2022 |
| A neuroscience-inspired spiking neural network for auditory spatial attention detection using single-trial EEG F Faghihi, S Cai, A A. Moustafa bioRxiv, 2021.05. 25.445653, 2021 | 1 | 2021 |
| Explainable Feature Extraction Using a Neural Network with non-Synaptic Memory for Hand-Written Digit Classification F Faghihi, H Alashwal, AA Moustafa bioRxiv, 2021.04. 06.438597, 2021 | | 2021 |
| Pattern Separation in a Spiking Neural Network of Hippocampus Robust to Imbalanced Excitation/Inhibition F Faghihi, H Samani, AA Moustafa arXiv preprint arXiv:1808.00367, 2018 | | 2018 |
| Biophysical modeling of information processing in the Drosophila olfactory system F Faghihi | | 2014 |
| The Fuzzy-Sets Theoretic Interpretation of Fibonacci Numbers and Golden Section F Faghihi International Mathematical Forum 2 (68), 3401-3408, 2007 | | 2007 |
