Brian DePasquale

1.5k total citations
14 papers, 785 citations indexed

About

Brian DePasquale is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Brian DePasquale has authored 14 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Brian DePasquale's work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Applications (3 papers). Brian DePasquale is often cited by papers focused on Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Applications (3 papers). Brian DePasquale collaborates with scholars based in United States, United Kingdom and Netherlands. Brian DePasquale's co-authors include Ann M. Graybiel, Daniel J. Gibson, J Feingold, L. F. Abbott, Raoul-Martin Memmesheimer, Kanaka Rajan, Carlos D. Brody, David W. Tank, Stephan Y. Thiberge and Lucas Pinto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Brian DePasquale

11 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian DePasquale United States 9 627 303 171 159 115 14 785
Michael Denker Germany 14 449 0.7× 321 1.1× 100 0.6× 49 0.3× 45 0.4× 38 630
Samuel A. Neymotin United States 23 1.0k 1.7× 708 2.3× 227 1.3× 65 0.4× 90 0.8× 60 1.3k
Jean‐Philippe Thivierge Canada 14 931 1.5× 343 1.1× 127 0.7× 110 0.7× 32 0.3× 52 1.2k
Robert Rosenbaum United States 16 827 1.3× 581 1.9× 208 1.2× 100 0.6× 84 0.7× 34 974
Henrik Lindén Norway 15 1.0k 1.6× 730 2.4× 158 0.9× 43 0.3× 56 0.5× 27 1.2k
Baktash Babadi United States 11 488 0.8× 356 1.2× 127 0.7× 64 0.4× 18 0.2× 16 687
Tobias C. Potjans Japan 8 651 1.0× 404 1.3× 261 1.5× 73 0.5× 17 0.1× 15 781
Cesare Magri Germany 10 967 1.5× 411 1.4× 73 0.4× 39 0.2× 28 0.2× 15 1.1k
Katsunori Kitano Japan 14 364 0.6× 272 0.9× 123 0.7× 56 0.4× 43 0.4× 33 546
Tom Tetzlaff Germany 15 1.0k 1.7× 660 2.2× 273 1.6× 76 0.5× 40 0.3× 50 1.2k

Countries citing papers authored by Brian DePasquale

Since Specialization
Citations

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

Fields of papers citing papers by Brian DePasquale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian DePasquale

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

All Works

14 of 14 papers shown
1.
2.
Luo, Thomas Zhihao, Diksha Gupta, Adrian Bondy, et al.. (2025). Transitions in dynamical regime and neural mode during perceptual decisions. Nature. 646(8087). 1156–1166.
3.
Gupta, Diksha, Brian DePasquale, Charles D. Kopec, & Carlos D. Brody. (2024). Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making. Nature Communications. 15(1). 662–662. 14 indexed citations
4.
DePasquale, Brian, Carlos D. Brody, & Jonathan W. Pillow. (2024). Neural population dynamics underlying evidence accumulation in multiple rat brain regions. eLife. 13.
5.
Insanally, Michele N., et al.. (2024). Contributions of cortical neuron firing patterns, synaptic connectivity, and plasticity to task performance. Nature Communications. 15(1). 6023–6023. 8 indexed citations
6.
DePasquale, Brian, David Sussillo, L. F. Abbott, & Mark M. Churchland. (2023). The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks. Neuron. 111(5). 631–649.e10. 25 indexed citations
7.
Panichello, Matthew F., Brian DePasquale, Jonathan W. Pillow, & Timothy J. Buschman. (2019). Error-correcting dynamics in visual working memory. Nature Communications. 10(1). 3366–3366. 69 indexed citations
8.
Pinto, Lucas, Kanaka Rajan, Brian DePasquale, et al.. (2019). Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions. Neuron. 104(4). 810–824.e9. 144 indexed citations
9.
Insanally, Michele N., Ioana Carcea, Rachel E. Field, et al.. (2019). Spike-timing-dependent ensemble encoding by non-classically responsive cortical neurons. eLife. 8. 34 indexed citations
10.
DePasquale, Brian, Christopher J. Cueva, Kanaka Rajan, G. Sean Escola, & L. F. Abbott. (2018). full-FORCE: A target-based method for training recurrent networks. PLoS ONE. 13(2). e0191527–e0191527. 73 indexed citations
11.
Abbott, L. F., Brian DePasquale, & Raoul-Martin Memmesheimer. (2016). Building functional networks of spiking model neurons. Nature Neuroscience. 19(3). 350–355. 137 indexed citations
12.
DePasquale, Brian. (2016). Methods for Building Network Models of Neural Circuits. Columbia Academic Commons (Columbia University). 1 indexed citations
13.
Feingold, J, Daniel J. Gibson, Brian DePasquale, & Ann M. Graybiel. (2015). Bursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasks. Proceedings of the National Academy of Sciences. 112(44). 13687–13692. 247 indexed citations
14.
Paninski, Liam, et al.. (2011). Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods. Journal of Computational Neuroscience. 33(1). 1–19. 33 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael Denker Breakdown of academic impact, for papers by Samuel A. Neymotin Breakdown of academic impact, for papers by Jean‐Philippe Thivierge Breakdown of academic impact, for papers by Robert Rosenbaum Breakdown of academic impact, for papers by Henrik Lindén Breakdown of academic impact, for papers by Baktash Babadi Breakdown of academic impact, for papers by Tobias C. Potjans Breakdown of academic impact, for papers by Cesare Magri Breakdown of academic impact, for papers by Katsunori Kitano Breakdown of academic impact, for papers by Tom Tetzlaff
Rankless by CCL
2026