David Sussillo
Impact in
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 27
- EEG and Brain-Computer Interfaces 5
- Functional Brain Connectivity Studies 4
- Visual perception and processing mechanisms 3
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- Neural Networks and Reservoir Computing 10
- Neural Networks and Applications 7
- Co-authors
- Krishna V. Shenoy (11 shared papers)L. F. Abbott (5 shared papers)Valerio Mante (2 shared papers)William T. Newsome (1 shared paper)Omri Barak (2 shared papers)Andrew J. Trevelyan (2 shared papers)Rafael Yuste (2 shared papers)Matthew Tyler Kaufman (3 shared papers)
- Journals
- Neuron (3 papers)Nature (2 papers)Neural Computation (2 papers)Nature Communications (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
David Sussillo
36 papers receiving 4.9k citations
David Sussillo's Hit Papers
Peers
Comparison fields: 5 of 151
- Cognitive Neuroscience 3.9k
- Cellular and Molecular Neuroscience 1.4k
- Artificial Intelligence 1.3k
- Statistical and Nonlinear Physics 285
- Electrical and Electronic Engineering 991
Countries citing papers authored by David Sussillo
This map shows the geographic impact of David Sussillo'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 David Sussillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sussillo more than expected).
Fields of papers citing papers by David Sussillo
This network shows the impact of papers produced by David Sussillo. 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 David Sussillo. The network helps show where David Sussillo may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sussillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Context-dependent computation by recurrent dynamics in prefrontal cortex Hit paper breakdown → | 2013 | 1114 |
| 2 | Generating Coherent Patterns of Activity from Chaotic Neural Networks Hit paper breakdown → | 2009 | 724 |
| 3 | Inferring single-trial neural population dynamics using sequential auto-encoders Hit paper breakdown → | 2018 | 369 |
| 4 | 2012 | 331 | |
| 5 | 2015 | 318 | |
| 6 | Computation Through Neural Population Dynamics Hit paper breakdown → | 2020 | 317 |
| 7 | 2006 | 270 | |
| 8 | 2007 | 209 | |
| 9 | Catalyzing next-generation Artificial Intelligence through NeuroAI Hit paper breakdown → | 2023 | 171 |
| 10 | 2014 | 160 | |
| 11 | 2016 | 137 | |
| 12 | 2012 | 135 | |
| 13 | 2016 | 134 | |
| 14 | 2013 | 114 | |
| 15 | Hallucinations in Neural Machine Translation | 2018 | 76 |
| 16 | 2014 | 76 | |
| 17 | 2024 | 48 | |
| 18 | 2022 | 40 | |
| 19 | 2007 | 36 | |
| 20 | 2019 | 33 |
About David Sussillo
David Sussillo is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Acoustics and Ultrasonics, having authored 37 papers that have together received 5.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (27 papers), Neural Networks and Reservoir Computing (10 papers), Advanced Memory and Neural Computing (9 papers), Neural Networks and Applications (7 papers), Neuroscience and Neural Engineering (6 papers), EEG and Brain-Computer Interfaces (5 papers), Functional Brain Connectivity Studies (4 papers) and Visual perception and processing mechanisms (3 papers). The work is most often cited by research in Cognitive Neuroscience (3.9k citations), Cellular and Molecular Neuroscience (1.4k citations), Artificial Intelligence (1.3k citations), Statistical and Nonlinear Physics (285 citations) and Electrical and Electronic Engineering (991 citations). David Sussillo has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Krishna V. Shenoy, L. F. Abbott, Valerio Mante, William T. Newsome, Omri Barak, Andrew J. Trevelyan, Rafael Yuste, Matthew Tyler Kaufman, Mark M. Churchland and Matthew D. Golub. Their work appears in journals such as Neuron, Nature, Neural Computation, Nature Communications and Nature Neuroscience.
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.