Xaq Pitkow

3.2k total citations
34 papers, 1.3k citations indexed

About

Xaq Pitkow is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Xaq Pitkow has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 15 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Xaq Pitkow's work include Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (12 papers) and Neural Networks and Applications (9 papers). Xaq Pitkow is often cited by papers focused on Neural dynamics and brain function (18 papers), Visual perception and processing mechanisms (12 papers) and Neural Networks and Applications (9 papers). Xaq Pitkow collaborates with scholars based in United States, Germany and Switzerland. Xaq Pitkow's co-authors include Alexandre Pouget, Peter E. Latham, Jeffrey M. Beck, Markus Meister, Dora E. Angelaki, Ingmar Kanitscheider, Rubén Moreno‐Bote, Gregory C. DeAngelis, Andreas S. Tolias and Fabian H. Sinz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Xaq Pitkow

33 papers receiving 1.3k citations

Peers

Xaq Pitkow

CMN

EEE

Gergő Orbán Hungary

Pietro Berkes United States

Si Wu China

Guangyu Robert Yang United States

Ben D. B. Willmore United Kingdom

George H. Denfield United States

Odelia Schwartz United States

Eyal Seidemann United States

Jan Drugowitsch United States

Rishidev Chaudhuri United States

Gergő Orbán Hungary

Xaq Pitkow

1.3k ×1.2

377 ×1.0

CMN

249 ×1.3

80 ×0.6

147 ×1.4

EEE

Citations per year, relative to Xaq Pitkow Xaq Pitkow (= 1×) peers Gergő Orbán

Countries citing papers authored by Xaq Pitkow

Since Specialization

Citations

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

Fields of papers citing papers by Xaq Pitkow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xaq Pitkow

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

All Works

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20 of 20 papers shown

Ebrahimi, Nafiseh, et al.. (2025). Integrated Analytical Modeling and Numerical Simulation Framework for Design Optimization of Electromagnetic Soft Actuators. Actuators. 14(3). 128–128. 1 indexed citations

Li, Jinlong, et al.. (2025). Transfer learning via distributed brain recordings enables reliable speech decoding. Nature Communications. 16(1). 8749–8749.

Parajuli, Arun, et al.. (2024). Population coding of strategic variables during foraging in freely moving macaques. Nature Neuroscience. 27(4). 772–781. 6 indexed citations

Pitkow, Xaq, et al.. (2024). Inductive biases of neural network modularity in spatial navigation. Science Advances. 10(29). eadk1256–eadk1256. 3 indexed citations

Forseth, Kiefer J., Xaq Pitkow, Simon Fischer‐Baum, & Nitin Tandon. (2024). 149 Dynamical Network State Sequences for Human Language Production. Neurosurgery. 70(Supplement_1). 33–34. 1 indexed citations

Lakshminarasimhan, Kaushik J., Eric Avila, Xaq Pitkow, & Dora E. Angelaki. (2023). Dynamical latent state computation in the male macaque posterior parietal cortex. Nature Communications. 14(1). 1832–1832. 8 indexed citations

Pitkow, Xaq. (2023). Algorithmic similarity depends continuously on the input distribution, not categorically on how inputs are generated. Trends in Cognitive Sciences. 27(3). 214–215. 1 indexed citations

Li, Zhe, Evgenia Rusak, Wieland Brendel, et al.. (2023). Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Computational Biology. 19(3). e1010932–e1010932. 12 indexed citations

Yoon, Kijung, et al.. (2022). Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. IEEE Access. 10. 58071–58080. 1 indexed citations

10.

Lakshminarasimhan, Kaushik J., et al.. (2022). Sensory Evidence Accumulation Using Optic Flow in a Naturalistic Navigation Task. Journal of Neuroscience. 42(27). 5451–5462. 21 indexed citations

11.

Walker, Edgar Y., et al.. (2021). Revealing nonlinear neural decoding by analyzing choices. Nature Communications. 12(1). 6557–6557. 9 indexed citations

12.

Lakshminarasimhan, Kaushik J., et al.. (2021). Influence of sensory modality and control dynamics on human path integration. eLife. 11. 8 indexed citations

13.

Schrater, Paul, et al.. (2020). Rational thoughts in neural codes. Proceedings of the National Academy of Sciences. 117(47). 29311–29320. 15 indexed citations

14.

Forseth, Kiefer J., et al.. (2019). Dynamic Brain Interactions during Picture Naming. eNeuro. 6(4). ENEURO.0472–18.2019. 13 indexed citations

15.

Walker, Edgar Y., Fabian H. Sinz, Erick Cobos, et al.. (2019). Inception loops discover what excites neurons most using deep predictive models. Nature Neuroscience. 22(12). 2060–2065. 92 indexed citations

16.

Subramaniyan, Manivannan, Alexander S. Ecker, Saumil S. Patel, et al.. (2018). Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology. 120(5). 2430–2452. 25 indexed citations

17.

Lakshminarasimhan, Kaushik J., Alexandre Pouget, Gregory C. DeAngelis, Dora E. Angelaki, & Xaq Pitkow. (2018). Inferring decoding strategies for multiple correlated neural populations. PLoS Computational Biology. 14(9). e1006371–e1006371. 13 indexed citations

18.

Wu, Zhengwei, Paul Schrater, & Xaq Pitkow. (2018). Inverse POMDP: Inferring What You Think from What You Do.. arXiv (Cornell University). 1 indexed citations

19.

Pitkow, Xaq. (2012). Compressive neural representation of sparse, high-dimensional probabilities. arXiv (Cornell University). 1349–1357. 2 indexed citations

20.

Pitkow, Xaq, et al.. (2011). Learning unbelievable probabilities.. Europe PMC (PubMed Central). 24. 738–746. 1 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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