Timothée Levi

1.3k total citations · 1 hit paper
49 papers, 772 citations indexed

About

Timothée Levi is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Timothée Levi has authored 49 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 34 papers in Cellular and Molecular Neuroscience and 33 papers in Cognitive Neuroscience. Recurrent topics in Timothée Levi's work include Advanced Memory and Neural Computing (34 papers), Neuroscience and Neural Engineering (31 papers) and Neural dynamics and brain function (26 papers). Timothée Levi is often cited by papers focused on Advanced Memory and Neural Computing (34 papers), Neuroscience and Neural Engineering (31 papers) and Neural dynamics and brain function (26 papers). Timothée Levi collaborates with scholars based in France, Japan and Italy. Timothée Levi's co-authors include Sylvain Saïghi, Yoshiho Ikeuchi, Takashi Kohno, Teruo Fujii, Michela Chiappalone, Sébastien Joucla, Blaise Yvert, Yannick Bornat, Jiro Kawada and Kazuyuki Aihara and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Timothée Levi

47 papers receiving 766 citations

Hit Papers

Complex activity and short-term plasticity of human cereb... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timothée Levi France 16 437 410 394 159 121 49 772
Christian Tetzlaff Germany 16 422 1.0× 299 0.7× 553 1.4× 56 0.4× 107 0.9× 49 832
Alexey Pimashkin Russia 13 518 1.2× 298 0.7× 295 0.7× 138 0.9× 29 0.2× 43 768
Alessio Paolo Buccino United States 13 459 1.1× 137 0.3× 528 1.3× 158 1.0× 46 0.4× 32 805
Felix Franke Switzerland 22 977 2.2× 413 1.0× 951 2.4× 195 1.2× 52 0.4× 45 1.4k
Angela Tooker United States 16 931 2.1× 319 0.8× 674 1.7× 347 2.2× 24 0.2× 39 1.2k
Alessandro Vato Italy 13 840 1.9× 271 0.7× 698 1.8× 147 0.9× 30 0.2× 29 1.0k
Jarno M. A. Tanskanen Finland 12 253 0.6× 146 0.4× 134 0.3× 110 0.7× 54 0.4× 65 557
Marie Engelene J. Obien Japan 12 832 1.9× 430 1.0× 452 1.1× 301 1.9× 37 0.3× 27 1.1k
Niceto R. Luque Spain 19 165 0.4× 203 0.5× 548 1.4× 85 0.5× 86 0.7× 31 796
Jan Müller Switzerland 19 1.2k 2.8× 616 1.5× 765 1.9× 408 2.6× 31 0.3× 26 1.6k

Countries citing papers authored by Timothée Levi

Since Specialization
Citations

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

Fields of papers citing papers by Timothée Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothée Levi

This figure shows the co-authorship network connecting the top 25 collaborators of Timothée Levi. A scholar is included among the top collaborators of Timothée Levi 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 Timothée Levi. Timothée Levi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Levi, Timothée, et al.. (2025). A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting. Nature Communications. 16(1). 9218–9218. 1 indexed citations
2.
Chiappalone, Michela, et al.. (2024). BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network. Nature Communications. 15(1). 5142–5142. 11 indexed citations
3.
Baccouche, Alexandre, Guillaume Gines, Timothée Levi, et al.. (2024). Neural coding of temperature with a DNA-based spiking chemical neuron. 1(8). 510–521. 3 indexed citations
5.
Tixier‐Mita, Agnès, et al.. (2024). A digital hardware system for real-time biorealistic stimulation on in vitro cardiomyocytes. Artificial Life and Robotics. 29(4). 473–478.
6.
Osaki, Tatsuya, et al.. (2024). Complex activity and short-term plasticity of human cerebral organoids reciprocally connected with axons. Nature Communications. 15(1). 2945–2945. 47 indexed citations breakdown →
7.
Branchereau, Pascal, et al.. (2024). Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA. Frontiers in Neuroscience. 18. 1457774–1457774.
8.
Kohno, Takashi, et al.. (2023). FPGA implementation of a Spiking Neural Network for Real-Time Action Potential and Burst Detection. SPIRE - Sciences Po Institutional REpository. 1–5. 2 indexed citations
9.
Chiappalone, Michela, Michèle Giugliano, Timothée Levi, et al.. (2020). Plasticity and Adaptation in Neuromorphic Biohybrid Systems. iScience. 23(10). 101589–101589. 33 indexed citations
10.
Mosbacher, Y., M. M. Goldin, Sivan Kanner, et al.. (2020). Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation. Scientific Reports. 10(1). 7512–7512. 27 indexed citations
11.
Aihara, Kazuyuki, et al.. (2019). Snake robot controlled by biomimetic CPGs. Proceedings of International Conference on Artificial Life and Robotics. 24. 77–81. 2 indexed citations
12.
Bornat, Yannick, Ilaria Colombi, Valentina Pasquale, et al.. (2019). A Neuromorphic Prosthesis to Restore Communication in Neuronal Networks. iScience. 19. 402–414. 57 indexed citations
13.
Luo, Zhongyue, Jiro Kawada, Shinsuke Shibata, et al.. (2019). A Human Induced Pluripotent Stem Cell-Derived Tissue Model of a Cerebral Tract Connecting Two Cortical Regions. iScience. 14. 301–311. 42 indexed citations
14.
Saïghi, Sylvain, et al.. (2019). Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization. Frontiers in Neuroscience. 13. 377–377. 36 indexed citations
15.
Bornat, Yannick, et al.. (2017). Biomimetic neural network for modifying biological dynamics during hybrid experiments. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
16.
Kawada, Jiro, Shohei Kaneda, Asif Maroof, et al.. (2017). Generation of a Motor Nerve Organoid with Human Stem Cell-Derived Neurons. Stem Cell Reports. 9(5). 1441–1449. 83 indexed citations
17.
Kohno, Takashi, et al.. (2016). Digital hardware implementation of a stochastic two-dimensional neuron model. Journal of Physiology-Paris. 110(4). 409–416. 17 indexed citations
18.
Levi, Timothée, et al.. (2014). Silicon neuron: digital hardware implementation of the quartic model. Artificial Life and Robotics. 19(3). 215–219. 23 indexed citations
19.
Bonifazi, P., Francesco Difato, Paolo Massobrio, et al.. (2013). In vitro large-scale experimental and theoretical studies for the realization of bi-directional brain-prostheses. Frontiers in Neural Circuits. 7. 40–40. 61 indexed citations
20.
Levi, Timothée, et al.. (2013). Real-time biomimetic Central Pattern Generators in an FPGA for hybrid experiments. Frontiers in Neuroscience. 7. 215–215. 58 indexed citations

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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