Matthew D. Golub

2.7k total citations · 2 hit papers
14 papers, 1.2k citations indexed

About

Matthew D. Golub is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Matthew D. Golub has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Matthew D. Golub's work include EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (8 papers) and Motor Control and Adaptation (6 papers). Matthew D. Golub is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (8 papers) and Motor Control and Adaptation (6 papers). Matthew D. Golub collaborates with scholars based in United States. Matthew D. Golub's co-authors include Steven M. Chase, Byron M. Yu, Aaron P. Batista, Elizabeth C. Tyler‐Kabara, David Sussillo, Krishna V. Shenoy, Saurabh Vyas, Stephen I. Ryu, Patrick T. Sadtler and Kristin M. Quick and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Neuroscience.

In The Last Decade

Matthew D. Golub

14 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural constraints on learning

2014 399 citations Patrick T. Sadtler, Kristin M. Quick et al. Nature profile →
Computation Through Neural Population Dynamics

2020 279 citations Saurabh Vyas, Matthew D. Golub et al. Annual Review of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew D. Golub United States	13	1.1k	487	170	141	138	14	1.2k
Matthew G. Perich United States	14	956 0.8×	404 0.8×	177 1.0×	113 0.8×	125 0.9×	22	1.1k
Justin Foster United States	8	1.2k 1.1×	684 1.4×	268 1.6×	98 0.7×	234 1.7×	18	1.4k
Nicholas G. Hatsopoulos United States	11	700 0.6×	367 0.8×	167 1.0×	54 0.4×	84 0.6×	24	823
Patrick T. Sadtler United States	10	762 0.7×	395 0.8×	118 0.7×	67 0.5×	111 0.8×	13	813
Luis Lemus Mexico	16	1.7k 1.5×	470 1.0×	75 0.4×	84 0.6×	117 0.8×	29	2.0k
Eric M. Trautmann United States	11	712 0.6×	359 0.7×	109 0.6×	101 0.7×	149 1.1×	19	879
Ronen Sosnik Israel	16	1.0k 0.9×	651 1.3×	150 0.9×	31 0.2×	67 0.5×	31	1.2k
Sergey D. Stavisky United States	20	1.7k 1.4×	980 2.0×	289 1.7×	154 1.1×	438 3.2×	39	1.8k
Afsheen Afshar United States	15	1.8k 1.5×	1.1k 2.2×	443 2.6×	107 0.8×	351 2.5×	19	1.9k
Matthew J. Nelson United States	11	1.0k 0.9×	276 0.6×	98 0.6×	55 0.4×	56 0.4×	18	1.1k

Countries citing papers authored by Matthew D. Golub

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Golub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Golub. 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 Matthew D. Golub. The network helps show where Matthew D. Golub may publish in the future.

Co-authorship network of co-authors of Matthew D. Golub

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Golub. A scholar is included among the top collaborators of Matthew D. Golub 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 Matthew D. Golub. Matthew D. Golub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Hennig, Jay A., Emily R. Oby, Matthew D. Golub, et al.. (2024). Learning leaves a memory trace in motor cortex. Current Biology. 34(7). 1519–1531.e4. 4 indexed citations

Sun, Xulu, Daniel J. O’Shea, Matthew D. Golub, et al.. (2022). Cortical preparatory activity indexes learned motor memories. Nature. 602(7896). 274–279. 44 indexed citations

Hennig, Jay A., Emily R. Oby, Matthew D. Golub, et al.. (2021). Learning is shaped by abrupt changes in neural engagement. Nature Neuroscience. 24(5). 727–736. 37 indexed citations

Vyas, Saurabh, Matthew D. Golub, David Sussillo, & Krishna V. Shenoy. (2020). Computation Through Neural Population Dynamics. Annual Review of Neuroscience. 43(1). 249–275. 279 indexed citations breakdown →

Oby, Emily R., Matthew D. Golub, Jay A. Hennig, et al.. (2019). New neural activity patterns emerge with long-term learning. Proceedings of the National Academy of Sciences. 116(30). 15210–15215. 104 indexed citations

Golub, Matthew D. & David Sussillo. (2018). FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks. The Journal of Open Source Software. 3(31). 1003–1003. 14 indexed citations

Golub, Matthew D., Patrick T. Sadtler, Emily R. Oby, et al.. (2018). Learning by neural reassociation. Nature Neuroscience. 21(4). 607–616. 134 indexed citations

Hennig, Jay A., Matthew D. Golub, Patrick T. Sadtler, et al.. (2018). Constraints on neural redundancy. eLife. 7. 41 indexed citations

Golub, Matthew D., Steven M. Chase, Aaron P. Batista, & Byron M. Yu. (2016). Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control. Current Opinion in Neurobiology. 37. 53–58. 61 indexed citations

10.

Golub, Matthew D., Byron M. Yu, & Steven M. Chase. (2015). Internal models for interpreting neural population activity during sensorimotor control. eLife. 4. 37 indexed citations

11.

Sadtler, Patrick T., Kristin M. Quick, Matthew D. Golub, et al.. (2014). Neural constraints on learning. Nature. 512(7515). 423–426. 399 indexed citations breakdown →

12.

Golub, Matthew D., Byron M. Yu, Andrew B. Schwartz, & Steven M. Chase. (2014). Motor cortical control of movement speed with implications for brain-machine interface control. Journal of Neurophysiology. 112(2). 411–429. 55 indexed citations

13.

Golub, Matthew D., Steven M. Chase, & Byron M. Yu. (2013). Learning an Internal Dynamics Model from Control Demonstration.. PubMed. 606–614. 16 indexed citations

14.

Golub, Matthew D., Byron M. Yu, & Steven M. Chase. (2012). Internal models engaged by brain-computer interface control. PubMed Central. 8. 1327–1330. 20 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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