Milad Mozafari

753 total citations
12 papers, 430 citations indexed

About

Milad Mozafari is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Biophysics. According to data from OpenAlex, Milad Mozafari has authored 12 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 8 papers in Electrical and Electronic Engineering and 4 papers in Biophysics. Recurrent topics in Milad Mozafari's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Cell Image Analysis Techniques (4 papers). Milad Mozafari is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Cell Image Analysis Techniques (4 papers). Milad Mozafari collaborates with scholars based in France, Iran and Morocco. Milad Mozafari's co-authors include ‎Mohammad Ganjtabesh, Timothée Masquelier, Abbas Nowzari-Dalini, Simon J. Thorpe, Saeed Reza Kheradpisheh, Rufin VanRullen, Leila Reddy, Hamid Beigy, Mohammad Ebrahim Shiri and Andrea Alamia and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Milad Mozafari

11 papers receiving 418 citations

Peers

Countries citing papers authored by Milad Mozafari

Since Specialization

Citations

This map shows the geographic impact of Milad Mozafari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Milad Mozafari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Mozafari more than expected).

Fields of papers citing papers by Milad Mozafari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Milad Mozafari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Milad Mozafari. The network helps show where Milad Mozafari may publish in the future.

Co-authorship network of co-authors of Milad Mozafari

This figure shows the co-authorship network connecting the top 25 collaborators of Milad Mozafari. A scholar is included among the top collaborators of Milad Mozafari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Milad Mozafari. Milad Mozafari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective 2022 ·Neural Networks ·Andrea Alamia, Milad Mozafari, (unknown), Rufin VanRullen	4
2	On the role of feedback in visual processing: a predictive coding perspective 2022 ·arXiv (Cornell University) ·Andrea Alamia, Milad Mozafari, (unknown), Rufin VanRullen	0
3	Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs 2022 ·2022 International Joint Conference on Neural Networks (IJCNN) ·(unknown), (unknown), Milad Mozafari, Leila Reddy, Rufin VanRullen	30
4	Multimodal neural networks better explain multivoxel patterns in the\n hippocampus 2021 ·arXiv (Cornell University) ·(unknown), Milad Mozafari, Rufin VanRullen, Leila Reddy	11
5	Brain-inspired predictive coding dynamics improve the robustness of deep neural networks 2020 ·(unknown), Milad Mozafari, (unknown), (unknown), Andrea Alamia, Rufin VanRullen	1
6	SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron 2019 ·Frontiers in Neuroscience ·Milad Mozafari, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier	78
7	Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks 2019 ·Pattern Recognition ·Milad Mozafari, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier	119
8	Bio-Inspired Digit Recognition Using Spike-Timing-Dependent Plasticity (STDP) and Reward-Modulated STDP in Deep Convolutional Networks 2018 ·arXiv (Cornell University) ·Milad Mozafari, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier	3
9	Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition 2018 ·Milad Mozafari, ‎Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier	24
10	First-Spike-Based Visual Categorization Using Reward-Modulated STDP 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, ‎Mohammad Ganjtabesh	139
11	A cooperative learning method based on cellular learning automata and its application in optimization problems 2015 ·Journal of Computational Science ·Milad Mozafari, Mohammad Ebrahim Shiri, Hamid Beigy	10
12	A cellular learning automata model of investment behavior in the stock market 2013 ·Neurocomputing ·Milad Mozafari, (unknown)	11

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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