A cellular learning automata model of investment behavior in the stock market. - Milad Mozafari; Rahim Alizadeh (Neurocomputing, 2013)

A cooperative learning method based on cellular learning automata and its application in optimization problems. - Milad Mozafari; Mohammad Ebrahim Shiri; Hamid Beigy (J. Comput. Sci., 2015)

Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. - Milad Mozafari; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Simon J. Thorpe; Timothée Masquelier (CoRR, 2018)

First-Spike-Based Visual Categorization Using Reward-Modulated STDP. - Milad Mozafari; Saeed Reza Kheradpisheh; Timothée Masquelier; Abbas Nowzari-Dalini; Mohammad Ganjtabesh (IEEE Trans. Neural Networks Learn. Syst., 2018)

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. - Milad Mozafari; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Timothée Masquelier (CoRR, 2019)

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. - Milad Mozafari; Mohammad Ganjtabesh; Abbas Nowzari-Dalini; Simon J. Thorpe; Timothée Masquelier (Pattern Recognit., 2019)

Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. - Milad Mozafari; Leila Reddy; Rufin VanRullen (IJCNN, 2020)

Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics. - Bhavin Choksi; Milad Mozafari; Callum Biggs O'May; Benjamin Ador; Andrea Alamia; Rufin VanRullen (NeurIPS, 2021)

On the role of feedback in visual processing: a predictive coding perspective. - Andrea Alamia; Milad Mozafari; Bhavin Choksi; Rufin VanRullen (CoRR, 2021)

Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. - Furkan Ozcelik; Bhavin Choksi; Milad Mozafari; Leila Reddy; Rufin VanRullen (IJCNN, 2022)

Multimodal neural networks better explain multivoxel patterns in the hippocampus. - Bhavin Choksi; Milad Mozafari; Rufin VanRullen; Leila Reddy (Neural Networks, 2022)

On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective. - Andrea Alamia; Milad Mozafari; Bhavin Choksi; Rufin VanRullen (Neural Networks, 2023)

Modality-Agnostic fMRI Decoding of Vision and Language. - Mitja Nikolaus; Milad Mozafari; Nicholas Asher; Leila Reddy; Rufin VanRullen (CoRR, 2024)

Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning. - Alireza Nadafian; Milad Mozafari; Timothée Masquelier; Mohammad Ganjtabesh (CoRR, 2024)