Timothée Masquelier

7.8k citations
59 papers · 4.9k · 4 hit papers · h-index 27

Impact in

Papers in

Timothée Masquelier

56 papers receiving 4.8k citations

Timothée Masquelier's Hit Papers

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence 2023 · 184 citations
1840+3+6Years since publication250500750

Peers

Timothée Masquelier
Comparison fields: 5 of 126
  • Cognitive Neuroscience 2.9k
  • Cellular and Molecular Neuroscience 1.5k
  • Electrical and Electronic Engineering 3.8k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 238
Replace Steve Furber with:
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Citations per field
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Citations per year

Countries citing papers authored by Timothée Masquelier

Since Specialization
Citations

This map shows the geographic impact of Timothée Masquelier'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 Timothée Masquelier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothée Masquelier more than expected).

Fields of papers citing papers by Timothée Masquelier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothée Masquelier. 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 Timothée Masquelier. The network helps show where Timothée Masquelier may publish in the future.

Co-authors

The 25 scholars most cited alongside Timothée Masquelier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timothée Masquelier Line = papers co-authored together Timothée Masquelier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning in spiking neural networks
Hit paper breakdown →
2018848
2
STDP-based spiking deep convolutional neural networks for object recognition
Hit paper breakdown →
2017525
3 2011399
4 2007377
5
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Hit paper breakdown →
2021375
6 2013371
7 2009220
8 2008214
9
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence
Hit paper breakdown →
2023184
10 2018145
11 2019123
12 2009118
13 201685
14 201685
15 201979
16 202159
17 202057
18 201349
19 202139
20 201334

About Timothée Masquelier

Timothée Masquelier is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence and Molecular Biology, having authored 59 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (46 papers), Advanced Memory and Neural Computing (37 papers), Neuroscience and Neural Engineering (13 papers), CCD and CMOS Imaging Sensors (13 papers), Visual perception and processing mechanisms (6 papers), Photoreceptor and optogenetics research (6 papers), Neural Networks and Reservoir Computing (5 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), Cellular and Molecular Neuroscience (1.5k citations), Electrical and Electronic Engineering (3.8k citations), Artificial Intelligence (1.3k citations) and Computer Vision and Pattern Recognition (238 citations). Timothée Masquelier has collaborated with scholars based in France, Spain and Iran. Frequent co-authors include Simon J. Thorpe, Saeed Reza Kheradpisheh, ‎Mohammad Ganjtabesh, Anthony S. Maida, Amirhossein Tavanaei, Masoud Ghodrati, B. Linares-Barranco, Teresa Serrano‐Gotarredona, Rudy Guyonneau and Zhaofei Yu. Their work appears in journals such as Frontiers in Neuroscience, PLoS Computational Biology, Neurocomputing, Neural Networks and Journal of Neuroscience.

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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