Brice Bathellier

2.2k total citations
39 papers, 1.3k citations indexed

About

Brice Bathellier is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Brice Bathellier has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 14 papers in Sensory Systems. Recurrent topics in Brice Bathellier's work include Neural dynamics and brain function (26 papers), Olfactory and Sensory Function Studies (14 papers) and Neurobiology and Insect Physiology Research (9 papers). Brice Bathellier is often cited by papers focused on Neural dynamics and brain function (26 papers), Olfactory and Sensory Function Studies (14 papers) and Neurobiology and Insect Physiology Research (9 papers). Brice Bathellier collaborates with scholars based in France, Austria and Switzerland. Brice Bathellier's co-authors include Alan Carleton, Simon Rumpel, Lyubov Ushakova, Derek L. Buhl, Thomas Deneux, Carl C.H. Petersen, Pierre‐Marie Lledo, Samuel Lagier, Philippe Fauré and Yves Frégnac and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Brice Bathellier

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brice Bathellier France 19 755 711 554 244 230 39 1.3k
Alexei A. Koulakov United States 18 1.1k 1.5× 979 1.4× 699 1.3× 212 0.9× 330 1.4× 34 1.9k
David M. Coppola United States 21 557 0.7× 832 1.2× 455 0.8× 263 1.1× 99 0.4× 46 1.5k
Giuliano Iurilli Italy 12 637 0.8× 699 1.0× 294 0.5× 98 0.4× 165 0.7× 14 1.4k
Manabu Tanifuji Japan 25 1.1k 1.5× 1.2k 1.7× 728 1.3× 358 1.5× 451 2.0× 69 2.6k
Hartwig Spors Germany 11 1.1k 1.5× 532 0.7× 886 1.6× 326 1.3× 379 1.6× 18 1.5k
Edward Soucy United States 13 777 1.0× 473 0.7× 405 0.7× 185 0.8× 182 0.8× 19 1.5k
Dmitry Rinberg United States 21 1.3k 1.8× 457 0.6× 1.3k 2.4× 465 1.9× 598 2.6× 48 2.0k
Gerhard Hoch Germany 13 433 0.6× 413 0.6× 430 0.8× 67 0.3× 163 0.7× 22 1.0k
Andrew J. Peters United States 12 724 1.0× 1.1k 1.5× 157 0.3× 56 0.2× 92 0.4× 18 1.5k
David H. Gire United States 14 775 1.0× 294 0.4× 841 1.5× 334 1.4× 276 1.2× 25 1.2k

Countries citing papers authored by Brice Bathellier

Since Specialization
Citations

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

Fields of papers citing papers by Brice Bathellier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brice Bathellier

This figure shows the co-authorship network connecting the top 25 collaborators of Brice Bathellier. A scholar is included among the top collaborators of Brice Bathellier 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 Brice Bathellier. Brice Bathellier 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.
Bagur, Sophie, Alexandre Kempf, Yin Guo, et al.. (2025). A spatial code for temporal information is necessary for efficient sensory learning. Science Advances. 11(2). eadr6214–eadr6214. 6 indexed citations
2.
Boffi, Juan Carlos, Brice Bathellier, Hiroki Asari, & Robert Prevedel. (2024). Noisy neuronal populations effectively encode sound localization in the dorsal inferior colliculus of awake mice. eLife. 13. 1 indexed citations
3.
Houssen, Yannick Goulam, et al.. (2024). Towards two-photon all-optical electrophysiology with acousto-optic scanning. BS3C.6–BS3C.6. 1 indexed citations
4.
Bagur, Sophie, et al.. (2024). Parallel mechanisms signal a hierarchy of sequence structure violations in the auditory cortex. eLife. 13. 5 indexed citations
5.
Bathellier, Brice, et al.. (2023). Protocol for implementing medial forebrain bundle stimulation as a reward for perceptual tasks in mice. STAR Protocols. 4(4). 102669–102669. 1 indexed citations
6.
Filipchuk, Anton, et al.. (2022). Awake perception is associated with dedicated neuronal assemblies in the cerebral cortex. Nature Neuroscience. 25(10). 1327–1338. 17 indexed citations
7.
Ceballo, Sebastián, et al.. (2022). Differential roles of auditory and visual cortex for sensory detection in mice. Comptes Rendus Biologies. 345(1). 75–89. 1 indexed citations
8.
Ceballo, Sebastián, Alexandre Kempf, Zuzanna Piwkowska, et al.. (2019). Cortical recruitment determines learning dynamics and strategy. Nature Communications. 10(1). 1479–1479. 10 indexed citations
9.
Ceballo, Sebastián, et al.. (2019). Targeted Cortical Manipulation of Auditory Perception. Neuron. 104(6). 1168–1179.e5. 51 indexed citations
10.
Kuchibhotla, Kishore V. & Brice Bathellier. (2018). Neural encoding of sensory and behavioral complexity in the auditory cortex. Current Opinion in Neurobiology. 52. 65–71. 33 indexed citations
11.
Deneux, Thomas, et al.. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature Communications. 7(1). 12682–12682. 44 indexed citations
12.
Frégnac, Yves & Brice Bathellier. (2015). Cortical Correlates of Low-Level Perception: From Neural Circuits to Percepts. Neuron. 88(1). 110–126. 44 indexed citations
13.
Naud, Richard, Brice Bathellier, & Wulfram Gerstner. (2014). Spike-timing prediction in cortical neurons with active dendrites. Frontiers in Computational Neuroscience. 8. 90–90. 26 indexed citations
14.
Bathellier, Brice, Lyubov Ushakova, & Simon Rumpel. (2012). Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds. Neuron. 76(2). 435–449. 140 indexed citations
15.
Bathellier, Brice, Troy W. Margrie, & Matthew E. Larkum. (2009). Properties of Piriform Cortex Pyramidal Cell Dendrites: Implications for Olfactory Circuit Design. Journal of Neuroscience. 29(40). 12641–12652. 37 indexed citations
16.
Bathellier, Brice, et al.. (2008). Dynamic Ensemble Odor Coding in the Mammalian Olfactory Bulb: Sensory Information at Different Timescales. Neuron. 57(4). 586–598. 179 indexed citations
17.
Bathellier, Brice, et al.. (2007). Differential Spatial Representation of Taste Modalities in the Rat Gustatory Cortex. Journal of Neuroscience. 27(6). 1396–1404. 143 indexed citations
18.
19.
Bathellier, Brice, Friedrich G. Barth, Joerg T. Albert, & J. A. C. Humphrey. (2005). Viscosity-mediated motion coupling between pairs of trichobothria on the leg of the spider Cupiennius salei A Neuroethology, sensory, neural, and behavioral physiology. Journal of Comparative Physiology A. 1 indexed citations
20.
Bathellier, Brice, Samuel Lagier, Philippe Fauré, & Pierre‐Marie Lledo. (2005). Circuit Properties Generating Gamma Oscillations in a Network Model of the Olfactory Bulb. Journal of Neurophysiology. 95(4). 2678–2691. 86 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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