Sylvain Saïghi

3.5k total citations · 2 hit papers
31 papers, 2.4k citations indexed

About

Sylvain Saïghi is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sylvain Saïghi has authored 31 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Cognitive Neuroscience and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sylvain Saïghi's work include Advanced Memory and Neural Computing (27 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (14 papers). Sylvain Saïghi is often cited by papers focused on Advanced Memory and Neural Computing (27 papers), Neural dynamics and brain function (22 papers) and Neuroscience and Neural Engineering (14 papers). Sylvain Saïghi collaborates with scholars based in France, Japan and Australia. Sylvain Saïghi's co-authors include Sylvie Renaud, Teresa Serrano‐Gotarredona, B. Linares-Barranco, Jean Tomas, Yingxue Wang, André van Schaik, Gert Cauwenberghs, Fopefolu Folowosele, Johannes Schemmel and Philipp Häfliger and has published in prestigious journals such as Nature Communications, IEEE Access and Information Sciences.

In The Last Decade

Sylvain Saïghi

28 papers receiving 2.3k citations

Hit Papers

Neuromorphic Silicon Neuron Circuits 2011 2026 2016 2021 2011 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Saïghi France 15 1.9k 1.0k 995 446 193 31 2.4k
Elisabetta Chicca Germany 22 2.5k 1.3× 1.3k 1.2× 1.3k 1.3× 608 1.4× 139 0.7× 81 2.7k
Hirokazu Takahashi Japan 24 488 0.3× 1.1k 1.1× 697 0.7× 177 0.4× 376 1.9× 175 2.5k
Tara Julia Hamilton Australia 22 1.9k 1.0× 1.4k 1.3× 1.0k 1.0× 576 1.3× 48 0.2× 114 2.8k
Jayawan Wijekoon United Kingdom 11 1.3k 0.7× 859 0.8× 758 0.8× 364 0.8× 36 0.2× 19 1.8k
Philipp Häfliger Norway 17 1.8k 1.0× 961 0.9× 975 1.0× 343 0.8× 43 0.2× 70 2.3k
Eleni Vasilaki United Kingdom 20 937 0.5× 870 0.8× 771 0.8× 338 0.8× 47 0.2× 73 1.8k
Sylvie Renaud France 18 1.3k 0.7× 1.0k 1.0× 953 1.0× 345 0.8× 37 0.2× 58 2.2k
Johannes Schemmel Germany 24 3.0k 1.6× 1.8k 1.7× 1.4k 1.4× 1.0k 2.3× 38 0.2× 87 3.6k
Chethan Pandarinath United States 19 517 0.3× 1.6k 1.6× 1.2k 1.2× 138 0.3× 118 0.6× 38 2.1k
Blaise Yvert France 28 596 0.3× 1.1k 1.1× 917 0.9× 88 0.2× 126 0.7× 67 1.9k

Countries citing papers authored by Sylvain Saïghi

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Saïghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Saïghi

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Saïghi. A scholar is included among the top collaborators of Sylvain Saïghi 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 Sylvain Saïghi. Sylvain Saïghi 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.
Hirtzlin, Tifenn, C. Carabasse, Adrien F. Vincent, et al.. (2025). A ferroelectric–memristor memory for both training and inference. Nature Electronics. 8(10). 921–933. 1 indexed citations
2.
Vincent, Adrien F., et al.. (2024). Neuromorphic Event-based Line Detection on SpiNNaker. SPIRE - Sciences Po Institutional REpository. 36–40.
3.
Tao, Ying, et al.. (2024). GaitSpike: Event-based Gait Recognition With Spiking Neural Network. DR-NTU (Nanyang Technological University). 357–361. 1 indexed citations
4.
Hirtzlin, Tifenn, Sébastien Martin, C. Carabasse, et al.. (2023). Hybrid FeRAM/RRAM Synaptic Circuit Enabling On-Chip Inference and Learning at the Edge. SPIRE - Sciences Po Institutional REpository. 1–4. 5 indexed citations
5.
Vincent, Adrien F., et al.. (2023). A High-Level Methodology to Evaluate and Optimize Digital Architectures Targeting Spike Encoding. IEEE Access. 11. 120654–120665.
6.
Vincent, Adrien F., et al.. (2020). Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules. SPIRE - Sciences Po Institutional REpository. 554. 1–8. 2 indexed citations
7.
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
8.
Kim, Soo Hyeon, Sylvain Saïghi, Teruo Fujii, et al.. (2019). Biomimetic Spiking Neural Network (SNN) Systems for ‘In Vitro’ Cells Stimulation. HAL (Le Centre pour la Communication Scientifique Directe). 1–5. 1 indexed citations
9.
Boyn, Sören, Julie Grollier, Gwendal Lecerf, et al.. (2017). Learning through ferroelectric domain dynamics in solid-state synapses. Nature Communications. 8(1). 14736–14736. 476 indexed citations breakdown →
10.
Levi, Timothée, et al.. (2017). Digital implementation of Hodgkin–Huxley neuron model for neurological diseases studies. Artificial Life and Robotics. 23(1). 10–14. 28 indexed citations
11.
Joucla, Sébastien, Timothée Levi, Sylvain Saïghi, et al.. (2016). Generation of Locomotor-Like Activity in the Isolated Rat Spinal Cord Using Intraspinal Electrical Microstimulation Driven by a Digital Neuromorphic CPG. Frontiers in Neuroscience. 10. 67–67. 39 indexed citations
12.
Saïghi, Sylvain, Christian Mayr, Teresa Serrano‐Gotarredona, et al.. (2015). Plasticity in memristive devices for spiking neural networks. Frontiers in Neuroscience. 9. 51–51. 174 indexed citations
13.
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
14.
Lecerf, Gwendal, Jean Tomas, Sören Boyn, et al.. (2014). Silicon neuron dedicated to memristive spiking neural networks. HAL (Le Centre pour la Communication Scientifique Directe). 1568–1571. 17 indexed citations
15.
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
16.
Levi, Timothée, et al.. (2012). Bifurcation analysis in a silicon neuron. Artificial Life and Robotics. 17(1). 53–58. 4 indexed citations
17.
Indiveri, Giacomo, B. Linares-Barranco, Tara Julia Hamilton, et al.. (2011). Neuromorphic Silicon Neuron Circuits. Frontiers in Neuroscience. 5. 73–73. 1277 indexed citations breakdown →
18.
Chen, Hsin, Sylvain Saïghi, Laure Buhry, & Sylvie Renaud. (2010). Real-Time Simulation of Biologically Realistic Stochastic Neurons in VLSI. IEEE Transactions on Neural Networks. 21(9). 1511–1517. 32 indexed citations
19.
Renaud, Sylvie, Jean Tomas, Noëlle Lewis, et al.. (2010). PAX: A mixed hardware/software simulation platform for spiking neural networks. Neural Networks. 23(7). 905–916. 14 indexed citations
20.
Tomas, Jean, Sylvain Saïghi, Sylvie Renaud, et al.. (2004). Hardware computation of conductance-based neuron models. Neurocomputing. 58-60. 109–115. 14 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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