Jason Prentice

563 total citations
12 papers, 334 citations indexed

About

Jason Prentice is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jason Prentice has authored 12 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Jason Prentice's work include Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Jason Prentice is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (6 papers) and EEG and Brain-Computer Interfaces (4 papers). Jason Prentice collaborates with scholars based in United States, Austria and Israel. Jason Prentice's co-authors include Vijay Balasubramanian, Gašper Tkačik, Elad Schneidman, Xue-Xin Wei, Jonathan D. Victor, Philip Nelson, Kristina D. Simmons, Michael J. Berry, Olivier Marre and Stephanie E. Palmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biophysical Journal.

In The Last Decade

Jason Prentice

12 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Prentice United States 7 286 145 61 52 48 12 334
Sergei P. Rebrik United States 5 334 1.2× 189 1.3× 37 0.6× 41 0.8× 32 0.7× 7 376
Matthew Chalk France 9 470 1.6× 178 1.2× 38 0.6× 58 1.1× 32 0.7× 15 513
Arno Onken United Kingdom 9 220 0.8× 95 0.7× 84 1.4× 32 0.6× 41 0.9× 19 317
Klaus Wimmer Spain 10 474 1.7× 148 1.0× 27 0.4× 63 1.2× 76 1.6× 22 570
Elad Ganmor Israel 7 431 1.5× 193 1.3× 75 1.2× 45 0.9× 44 0.9× 9 490
Ryan C. Kelly United States 8 295 1.0× 185 1.3× 49 0.8× 37 0.7× 29 0.6× 13 385
Kilian Koepsell United States 9 468 1.6× 275 1.9× 51 0.8× 47 0.9× 23 0.5× 12 550
Cristina Savin United States 12 286 1.0× 150 1.0× 37 0.6× 104 2.0× 66 1.4× 33 362
Inés Samengo Argentina 13 353 1.2× 168 1.2× 39 0.6× 41 0.8× 37 0.8× 42 460
Patrick Mineault Canada 12 488 1.7× 274 1.9× 62 1.0× 32 0.6× 19 0.4× 13 613

Countries citing papers authored by Jason Prentice

Since Specialization
Citations

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

Fields of papers citing papers by Jason Prentice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Prentice

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

All Works

12 of 12 papers shown
1.
Prentice, Jason, et al.. (2017). Noise-Robust Modes of the Retinal Population Code Have the Geometry of “Ridges” and Correspond to Neuronal Communities. Neural Computation. 29(12). 3119–3180. 5 indexed citations
2.
Prentice, Jason, et al.. (2016). Noise-robust modes of the retinal population code geometrically correspond with "ridges". arXiv (Cornell University). 2 indexed citations
3.
Prentice, Jason, et al.. (2016). Error-Robust Modes of the Retinal Population Code. PLoS Computational Biology. 12(11). e1005148–e1005148. 15 indexed citations
4.
Wei, Xue-Xin, Jason Prentice, & Vijay Balasubramanian. (2015). A principle of economy predicts the functional architecture of grid cells. eLife. 4. e08362–e08362. 47 indexed citations
5.
Prentice, Jason, Kristina D. Simmons, Gašper Tkačik, et al.. (2014). Transformation of stimulus correlations by the retina. Bulletin of the American Physical Society. 2014. 1 indexed citations
6.
Simmons, Kristina D., Jason Prentice, Gašper Tkačik, et al.. (2013). Transformation of Stimulus Correlations by the Retina. PLoS Computational Biology. 9(12). e1003344–e1003344. 10 indexed citations
7.
Prentice, Jason, et al.. (2011). Fast, Scalable, Bayesian Spike Identification for Multi-Electrode Arrays. Biophysical Journal. 100(3). 95a–95a. 22 indexed citations
8.
Prentice, Jason, et al.. (2011). Fast, Scalable, Bayesian Spike Identification for Multi-Electrode Arrays. PLoS ONE. 6(7). e19884–e19884. 55 indexed citations
9.
Tkačik, Gašper, Jason Prentice, Jonathan D. Victor, & Vijay Balasubramanian. (2010). Local statistics in natural scenes predict the saliency of synthetic textures. Proceedings of the National Academy of Sciences. 107(42). 18149–18154. 58 indexed citations
10.
Prentice, Jason, et al.. (2010). Scalable, Bayesian, multi-electrode spike sorting. BMC Neuroscience. 11(S1). 1 indexed citations
11.
Tkačik, Gašper, Jason Prentice, Vijay Balasubramanian, & Elad Schneidman. (2010). Optimal population coding by noisy spiking neurons. Proceedings of the National Academy of Sciences. 107(32). 14419–14424. 115 indexed citations
12.
Tkačik, Gašper, Jason Prentice, Elad Schneidman, & Vijay Balasubramanian. (2009). Optimal correlation codes in populations of noisy spiking neurons. BMC Neuroscience. 10(S1). 3 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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