Sophie Denève
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 5%
- Experimental and Cognitive Psychology top 2%
- Artificial Intelligence top 2%
- Co-authors
- Alexandre PougetChristian K. MachensJean‐René DuhamelPeter E. LathamEtienne OlivierMarie AvillacTimm LochmannRenaud Jardri
- Topics
- Neural dynamics and brain function (44 papers)Visual perception and processing mechanisms (21 papers)Advanced Memory and Neural Computing (17 papers)
- Partner nations
- FranceUnited StatesPortugal
In The Last Decade
Sophie Denève
58 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 3.1k
- Cellular and Molecular Neuroscience 759
- Electrical and Electronic Engineering 671
- Experimental and Cognitive Psychology 640
- Artificial Intelligence 558
Countries citing papers authored by Sophie Denève
This map shows the geographic impact of Sophie Denève'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 Sophie Denève with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sophie Denève more than expected).
Fields of papers citing papers by Sophie Denève
This network shows the impact of papers produced by Sophie Denève. 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 Sophie Denève. The network helps show where Sophie Denève may publish in the future.
Co-authorship network of co-authors of Sophie Denève
This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Denève. A scholar is included among the top collaborators of Sophie Denève 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 Sophie Denève. Sophie Denève is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 19 | |
| 5 | 273 | |
| 6 | Enforcing balance allows local supervised learning in spiking recurrent networks | 14 |
| 7 | Spatio-temporal Representations of Uncertainty in Spiking Neural Networks | 20 |
| 8 | 148 | |
| 9 | Firing rate predictions in optimal balanced networks | 10 |
| 10 | Learning optimal spike-based representations | 29 |
| 11 | 51 | |
| 12 | 6 | |
| 13 | 76 | |
| 14 | 44 | |
| 15 | 209 | |
| 16 | 219 | |
| 17 | 62 | |
| 18 | A New Model of Spatial Representation in Multimodal Brain Areas | 1 |
| 19 | Divisive Normalization, Line Attractor Networks and Ideal Observers | 8 |
| 20 | Neural Basis of Object-Centered Representations | 15 |
About Sophie Denève
Sophie Denève is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 58 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), Visual perception and processing mechanisms (21 papers) and Advanced Memory and Neural Computing (17 papers). The work is most often cited by research in Cognitive Neuroscience (3.1k citations), Sensory Systems (244 citations) and Experimental and Cognitive Psychology (640 citations). Sophie Denève has collaborated with scholars based in France, United States and Portugal. Frequent co-authors include Alexandre Pouget, Christian K. Machens, Jean‐René Duhamel, Peter E. Latham, Etienne Olivier, Marie Avillac, Timm Lochmann, Renaud Jardri, Kechen Zhang and Pascal Barone. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.