Milad Mozafari

Orcid: 0000-0002-4521-1640

According to our database1, Milad Mozafari authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning.
CoRR, 2024

Modality-Agnostic fMRI Decoding of Vision and Language.
CoRR, 2024

2023
On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective.
Neural Networks, 2023

2022
Multimodal neural networks better explain multivoxel patterns in the hippocampus.
Neural Networks, 2022

Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
On the role of feedback in visual processing: a predictive coding perspective.
CoRR, 2021

Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks.
Pattern Recognit., 2019

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron.
CoRR, 2019

2018
First-Spike-Based Visual Categorization Using Reward-Modulated STDP.
IEEE Trans. Neural Networks Learn. Syst., 2018

Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition.
CoRR, 2018

2015
A cooperative learning method based on cellular learning automata and its application in optimization problems.
J. Comput. Sci., 2015

2013
A cellular learning automata model of investment behavior in the stock market.
Neurocomputing, 2013


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