Bruno Cessac

1.3k total citations
54 papers, 712 citations indexed

About

Bruno Cessac is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Bruno Cessac has authored 54 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 27 papers in Statistical and Nonlinear Physics and 22 papers in Artificial Intelligence. Recurrent topics in Bruno Cessac's work include Neural dynamics and brain function (38 papers), Neural Networks and Applications (20 papers) and stochastic dynamics and bifurcation (19 papers). Bruno Cessac is often cited by papers focused on Neural dynamics and brain function (38 papers), Neural Networks and Applications (20 papers) and stochastic dynamics and bifurcation (19 papers). Bruno Cessac collaborates with scholars based in France, Germany and United Kingdom. Bruno Cessac's co-authors include Mathias Quoy, Manuel Samuelides, B. Doyon, Thierry Viéville, Tyll Krüger, Bruno Delord, Hugues Berry, Rodrigo Cofré, Hélène Paugam‐Moisy and Jacques-Alexandre Sepulchre and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Bruno Cessac

52 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Cessac France 15 474 276 177 159 134 54 712
Anna Levina Germany 15 677 1.4× 443 1.6× 121 0.7× 195 1.2× 231 1.7× 38 1.0k
Thomas Petermann Switzerland 11 854 1.8× 415 1.5× 91 0.5× 145 0.9× 283 2.1× 17 1.1k
Michael A. Buice United States 16 763 1.6× 261 0.9× 109 0.6× 126 0.8× 397 3.0× 25 989
Nils Bertschinger Germany 10 565 1.2× 230 0.8× 491 2.8× 324 2.0× 77 0.6× 26 1.1k
Pulin Gong Australia 19 816 1.7× 309 1.1× 84 0.5× 90 0.6× 289 2.2× 54 1.0k
Louis Tao China 16 480 1.0× 243 0.9× 65 0.4× 137 0.9× 224 1.7× 66 876
Christian Bick United Kingdom 17 457 1.0× 309 1.1× 78 0.4× 46 0.3× 120 0.9× 46 982
Peter beim Graben Germany 18 470 1.0× 208 0.8× 230 1.3× 34 0.2× 36 0.3× 52 774
Fernando Montani Argentina 17 445 0.9× 165 0.6× 98 0.6× 68 0.4× 173 1.3× 42 598
Zachary P. Kilpatrick United States 16 459 1.0× 257 0.9× 62 0.4× 74 0.5× 130 1.0× 48 624

Countries citing papers authored by Bruno Cessac

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Cessac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Cessac

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Cessac. A scholar is included among the top collaborators of Bruno Cessac 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 Bruno Cessac. Bruno Cessac 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.
Marre, Olivier, et al.. (2024). Temporal pattern recognition in retinal ganglion cells is mediated by dynamical inhibitory synapses. Nature Communications. 15(1). 6118–6118. 2 indexed citations
2.
Hilgen, Gerrit, et al.. (2022). A novel approach to the functional classification of retinal ganglion cells. Open Biology. 12(3). 210367–210367. 5 indexed citations
3.
Hilgen, Gerrit, et al.. (2022). Receptive field estimation in large visual neuron assemblies using a super-resolution approach. Journal of Neurophysiology. 127(5). 1334–1347. 5 indexed citations
4.
Cessac, Bruno, Matteo di Volo, Frédéric Chavane, et al.. (2019). Anticipation in the retina and the primary visual cortex : towards an integrated retino-cortical model for motion processing. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
5.
Gil, Lionel, et al.. (2019). A biophysical model explains the spontaneous bursting behavior in the developing retina. Scientific Reports. 9(1). 1859–1859. 9 indexed citations
6.
Cessac, Bruno. (2017). Linear Response of General Observables in Spiking Neuronal Network Models. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
7.
Cessac, Bruno, et al.. (2017). PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11. 49–49. 14 indexed citations
8.
Hilgen, Gerrit, et al.. (2017). Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina. Scientific Reports. 7(1). 42330–42330. 26 indexed citations
9.
Naudé, Jérémie, Bruno Cessac, Hugues Berry, & Bruno Delord. (2013). Effects of Cellular Homeostatic Intrinsic Plasticity on Dynamical and Computational Properties of Biological Recurrent Neural Networks. Journal of Neuroscience. 33(38). 15032–15043. 17 indexed citations
10.
Rostro‐González, Horacio, Bruno Cessac, Bernard Girau, & César Torres-Huitzil. (2011). The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks. Journal of Physiology-Paris. 105(1-3). 91–97. 9 indexed citations
11.
Cessac, Bruno. (2011). Statistics of spike trains in conductance-based neural networks: Rigorous results. PubMed. 1(1). 8–8. 6 indexed citations
12.
Cessac, Bruno. (2009). Neural Networks as dynamical systems. arXiv (Cornell University).
13.
Cessac, Bruno, Hélène Paugam‐Moisy, & Thierry Viéville. (2009). Overview of facts and issues about neural coding by spikes. Journal of Physiology-Paris. 104(1-2). 5–18. 43 indexed citations
14.
Cessac, Bruno, et al.. (2008). Statistics of spikes trains, synaptic plasticity and Gibbs distributions.. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Cessac, Bruno. (2007). A discrete time neural network model with spiking neurons. Journal of Mathematical Biology. 56(3). 311–345. 47 indexed citations
16.
Quoy, Mathias, et al.. (2007). Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons. Journal of Physiology-Paris. 101(1-3). 136–148. 47 indexed citations
17.
Cessac, Bruno, Ph. Blanchard, & Tyll Krueger. (2000). Lyapunov exponents and transport in Self-Organized Criticality. arXiv (Cornell University). 1 indexed citations
18.
Quoy, Mathias, et al.. (1998). Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. Neural Networks. 11(3). 521–533. 31 indexed citations
19.
Doyon, B., Bruno Cessac, Mathias Quoy, & Manuel Samuelides. (1995). Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks. Acta Biotheoretica. 43(1-2). 169–175. 5 indexed citations
20.
Doyon, B., Bruno Cessac, Mathias Quoy, & Manuel Samuelides. (1992). Destabilization and Route to Chaos in Neural Networks with Random Connectivity. Neural Information Processing Systems. 5. 549–555. 1 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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