Kayvon Daie

2.4k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Kayvon Daie is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Kayvon Daie has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Kayvon Daie's work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (3 papers). Kayvon Daie is often cited by papers focused on Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (5 papers) and Photoreceptor and optogenetics research (3 papers). Kayvon Daie collaborates with scholars based in United States, Israel and Taiwan. Kayvon Daie's co-authors include Karel Svoboda, Shaul Druckmann, Nuo Li, H. Inagaki, Zengcai V. Guo, Charles R. Gerfen, Tsai‐Wen Chen, Emre Aksay, David W. Tank and Andrew Miri and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Kayvon Daie

14 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Maintenance of persistent activity in a frontal thalamocortical loop

2017 325 citations Zengcai V. Guo, H. Inagaki et al. Nature profile →

Peers

Countries citing papers authored by Kayvon Daie

Since Specialization

Citations

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

Fields of papers citing papers by Kayvon Daie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayvon Daie

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Connectivity underlying motor cortex activity during goal-directed behaviour 2025 ·Nature ·Arseny Finkelstein, Kayvon Daie, Márton Rózsa, (unknown), Karel Svoboda	0
2	A combinatorial neural code for long-term motor memory 2024 ·Nature ·Jae‐Hyun Kim, Kayvon Daie, Nuo Li	4
3	BCI Learning Phenomena Can Be Explained by Gradient-Based Optimization 2022 ·SSRN Electronic Journal ·Peter C. Humphreys, Kayvon Daie, Karel Svoboda, Matthew Botvinick, Timothy Lillicrap	1
4	Neural Algorithms and Circuits for Motor Planning 2022 ·Annual Review of Neuroscience ·H. Inagaki, Susu Chen, Kayvon Daie, Arseny Finkelstein, Lorenzo Fontolan, Sandro Romani, Karel Svoboda	32
5	Targeted photostimulation uncovers circuit motifs supporting short-term memory 2021 ·Nature Neuroscience ·Kayvon Daie, Karel Svoboda, Shaul Druckmann	46
6	A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology 2020 ·PLoS Computational Biology ·Ziqiang Wei, Bei‐Jung Lin, Tsai‐Wen Chen, Kayvon Daie, Karel Svoboda, Shaul Druckmann	98
7	Two-photon imaging with silicon photomultipliers 2019 ·Optics Express ·Mehrab N Modi, Kayvon Daie, Glenn Turner, Kaspar Podgorski	22
8	Electron Microscopic Reconstruction of Functionally Identified Cells in a Neural Integrator 2017 ·Current Biology ·(unknown), Kayvon Daie, (unknown), Jeff W. Lichtman, Emre Aksay, H. Sebastian Seung	39
9	Maintenance of persistent activity in a frontal thalamocortical loop breakdown → 2017 ·Nature ·Zengcai V. Guo, H. Inagaki, Kayvon Daie, Shaul Druckmann, Charles R. Gerfen, Karel Svoboda	325
10	A Map of Anticipatory Activity in Mouse Motor Cortex 2017 ·Neuron ·Tsai‐Wen Chen, Nuo Li, Kayvon Daie, Karel Svoboda	134
11	Robust neuronal dynamics in premotor cortex during motor planning 2016 ·Nature ·Nuo Li, Kayvon Daie, Karel Svoboda, Shaul Druckmann	297
12	Spatial Patterns of Persistent Neural Activity Vary with the Behavioral Context of Short-Term Memory 2015 ·Neuron ·Kayvon Daie, Mark S. Goldman, Emre Aksay	29
13	Spatial gradients and multidimensional dynamics in a neural integrator circuit 2011 ·Nature Neuroscience ·Andrew Miri, Kayvon Daie, Aristides B. Arrenberg, Herwig Baier, Emre Aksay, David W. Tank	92
14	Regression-Based Identification of Behavior-Encoding Neurons During Large-Scale Optical Imaging of Neural Activity at Cellular Resolution 2010 ·Journal of Neurophysiology ·Andrew Miri, Kayvon Daie, Rebecca D. Burdine, Emre Aksay, David W. Tank	92
15	Conductance of a biomolecular wire 2006 ·Proceedings of the National Academy of Sciences ·Iris Visoly‐Fisher, Kayvon Daie, Yuichi Terazono, Christian Herrero, Fernando Fungo, Luís Otero, Edgardo N. Durantini, Juana J. Silber, Leonides Sereno, Devens Gust, Thomas A. Moore, Ana L. Moore, Stuart Lindsay	77

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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