Misha Tsodyks

17.2k total citations · 7 hit papers
125 papers, 11.3k citations indexed

About

Misha Tsodyks is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Misha Tsodyks has authored 125 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Cognitive Neuroscience, 49 papers in Cellular and Molecular Neuroscience and 36 papers in Artificial Intelligence. Recurrent topics in Misha Tsodyks's work include Neural dynamics and brain function (88 papers), Neuroscience and Neuropharmacology Research (32 papers) and Neural Networks and Applications (29 papers). Misha Tsodyks is often cited by papers focused on Neural dynamics and brain function (88 papers), Neuroscience and Neuropharmacology Research (32 papers) and Neural Networks and Applications (29 papers). Misha Tsodyks collaborates with scholars based in Israel, United States and Russia. Misha Tsodyks's co-authors include Henry Markram, Omri Barak, Daniel J. Amit, Yun Wang, Amos Arieli, Amiram Grinvald, Tal Kenet, Gianluigi Mongillo, Klaus Pawelzik and Terrence J. Sejnowski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Misha Tsodyks

121 papers receiving 11.0k citations

Hit Papers

The neural code between neocortical pyramidal neurons dep... 1996 2026 2006 2016 1997 2008 1998 1998 1996 250 500 750 1000

Peers

Misha Tsodyks
Ad Aertsen Germany
L. F. Abbott United States
Liam Paninski United States
Idan Segev Israel
Rodrigo Quian Quiroga United Kingdom
Kenneth D. Miller United States
Wulfram Gerstner Switzerland
Ad Aertsen Germany
Misha Tsodyks
Citations per year, relative to Misha Tsodyks Misha Tsodyks (= 1×) peers Ad Aertsen

Countries citing papers authored by Misha Tsodyks

Since Specialization
Citations

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

Fields of papers citing papers by Misha Tsodyks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misha Tsodyks

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

All Works

20 of 20 papers shown
1.
Yu, Qiang, Misha Tsodyks, Haim Sompolinsky, Dietmar Schmitz, & Robert Gütig. (2025). Interactions between long- and short-term synaptic plasticity transform temporal neural representations into spatial. Proceedings of the National Academy of Sciences. 122(47). e2426290122–e2426290122.
2.
Barak, Omri & Misha Tsodyks. (2023). Mathematical models of learning and what can be learned from them. Current Opinion in Neurobiology. 80. 102721–102721. 2 indexed citations
3.
Meyniel, Florent, et al.. (2021). Biases and Variability from Costly Bayesian Inference. Entropy. 23(5). 603–603. 2 indexed citations
4.
Luu, Long, Mingsha Zhang, Misha Tsodyks, & Ning Qian. (2021). Cross-fixation interactions of orientations suggest high-to-low-level decoding in visual working memory. Vision Research. 190. 107963–107963. 2 indexed citations
5.
Finkelstein, Arseny, Nachum Ulanovsky, Misha Tsodyks, & Johnatan Aljadeff. (2018). Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats. Nature Communications. 9(1). 3590–3590. 14 indexed citations
6.
Tsodyks, Misha, et al.. (2017). Stabilizing patterns in time: Neural network approach. PLoS Computational Biology. 13(12). e1005861–e1005861. 2 indexed citations
7.
Mi, Yuanyuan, Mikhail Katkov, & Misha Tsodyks. (2016). Synaptic Correlates of Working Memory Capacity. Neuron. 93(2). 323–330. 71 indexed citations
8.
Recanatesi, Stefano, Mikhail Katkov, Sandro Romani, & Misha Tsodyks. (2015). Neural Network Model of Memory Retrieval. Frontiers in Computational Neuroscience. 9. 149–149. 24 indexed citations
9.
Romani, Sandro, Itai Pinkoviezky, Alon Rubin, & Misha Tsodyks. (2013). Scaling Laws of Associative Memory Retrieval. Neural Computation. 25(10). 2523–2544. 31 indexed citations
10.
Bonneh, Yoram, et al.. (2013). Microsaccade latency uncovers stimulus predictability: Faster and longer inhibition for unpredicted stimuli. Journal of Vision. 13(9). 1342–1342. 11 indexed citations
11.
Tetzlaff, Christian, et al.. (2013). Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation. PLoS Computational Biology. 9(10). e1003307–e1003307. 28 indexed citations
12.
Bonneh, Yoram, et al.. (2012). An oculomotor trace of implicit perceptual predictions. Journal of Vision. 12(9). 1114–1114. 2 indexed citations
13.
Preminger, Son, Dov Sagi, & Misha Tsodyks. (2007). The effects of perceptual history on memory of visual objects. Vision Research. 47(7). 965–973. 20 indexed citations
14.
Katkov, Mikhail, Misha Tsodyks, & Dov Sagi. (2007). Inverse modeling of human contrast response. Vision Research. 47(22). 2855–2867. 10 indexed citations
15.
Holcman, David & Misha Tsodyks. (2006). The Emergence of Up and Down States in Cortical Networks. PLoS Computational Biology. 2(3). e23–e23. 167 indexed citations
16.
Silberberg, Gilad, Matthias Bethge, Henry Markram, Klaus Pawelzik, & Misha Tsodyks. (2004). Dynamics of Population Rate Codes in Ensembles of Neocortical Neurons. Journal of Neurophysiology. 91(2). 704–709. 83 indexed citations
17.
Adini, Yael, et al.. (2004). Perceptual learning in contrast discrimination: The effect of contrast uncertainty. Journal of Vision. 4(12). 2–2. 81 indexed citations
18.
Alpert, Galit Fuhrmann, Henry Markram, & Misha Tsodyks. (2002). Spike Frequency Adaptation and Neocortical Rhythms. Journal of Neurophysiology. 88(2). 761–770. 128 indexed citations
19.
Tsodyks, Misha & Henry Markram. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proceedings of the National Academy of Sciences. 94(2). 719–723. 1166 indexed citations breakdown →
20.
Tirozzi, B. & Misha Tsodyks. (1991). Chaos in Highly Diluted Neural Networks. Europhysics Letters (EPL). 14(8). 727–732. 28 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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