Gatsby Computational Neuroscience Unit

99.3k citations
836 papers ·

Impact in

    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Visual perception and processing mechanisms
    • Motor Control and Adaptation
    • Decision-Making and Behavioral Economics

Papers in

    • Neural dynamics and brain function 180
    • Neural and Behavioral Psychology Studies 137
    • Visual perception and processing mechanisms 93
    • Memory and Neural Mechanisms 88
    • Decision-Making and Behavioral Economics 41

Gatsby Computational Neuroscience Unit

824 papers receiving 99.3k citations

Peers

Gatsby Computational Neuroscience Unit
Comparison fields: 5 of 234
  • Cognitive Neuroscience 46.4k
  • General Decision Sciences 5k
  • Cellular and Molecular Neuroscience 10.5k
  • Artificial Intelligence 18.4k
  • Computer Vision and Pattern Recognition 9.9k
Replace Google DeepMind (United Kingdom) with:
Google DeepMind (United Kingdom) United Kingdom
Donders Centre for Cognitive Neuroimaging Netherlands
Laboratoire de Neurosciences Cognitives France
Institut d'Imagerie Biomédicale France
Centre de recherche cerveau et cognition France
Laboratoire Psychologie de la Perception France
Institut des Sciences Cognitives Marc Jeannerod France
Institut des Sciences Cognitives France
Laboratoire de Sciences Cognitives et Psycholinguistique France
Bernstein Center for Computational Neuroscience Göttingen Germany
Gatsby Computational Neuroscience Unit relative to Google DeepMind (United Kingdom) United Kingdom Google DeepMind (United Kingdom)'s profile →
Citations per field
00.5×2×4×6×7.6×
Google DeepMind (United Kingdom) · 1×
Citations per year

Countries citing scholars working at Gatsby Computational Neuroscience Unit

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Gatsby Computational Neuroscience Unit. 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 papers produced at Gatsby Computational Neuroscience Unit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gatsby Computational Neuroscience Unit more than expected).

Fields of papers published by authors at Gatsby Computational Neuroscience Unit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Gatsby Computational Neuroscience Unit at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Gatsby Computational Neuroscience Unit at the time of their publication.

About Gatsby Computational Neuroscience Unit

In recent decades, authors affiliated with Gatsby Computational Neuroscience Unit have published 836 papers, which have received a total of 99.3k indexed citations . Scholars at this organization have produced 472 papers in Cognitive Neuroscience, 41 papers in General Decision Sciences, 109 papers in Cellular and Molecular Neuroscience, 214 papers in Artificial Intelligence and 43 papers in Statistics and Probability on the topics of Neural dynamics and brain function (180 papers), Neural and Behavioral Psychology Studies (137 papers), Visual perception and processing mechanisms (93 papers), Memory and Neural Mechanisms (88 papers), Neurotransmitter Receptor Influence on Behavior (74 papers), Neural Networks and Applications (51 papers), Gaussian Processes and Bayesian Inference (42 papers) and Decision-Making and Behavioral Economics (41 papers). Their work is cited by papers focused on Cognitive Neuroscience (46.4k citations), General Decision Sciences (5k citations), Cellular and Molecular Neuroscience (10.5k citations), Artificial Intelligence (18.4k citations) and Computer Vision and Pattern Recognition (9.9k citations). Authors at Gatsby Computational Neuroscience Unit collaborate with scholars in United Kingdom, United States and Germany and have published in prestigious journals including PLoS Computational Biology, Nature Neuroscience, Neuron, Neural Computation and Journal of Neuroscience. Some of Gatsby Computational Neuroscience Unit's most productive authors include Peter Dayan, Lawrence K. Saul, Sam T. Roweis, Zoubin Ghahramani, Geoffrey E. Hinton, Raymond J. Dolan, Nathaniel D. Daw, Alexandre Pouget, Peter E. Latham and Maneesh Sahani.

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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