Daniel Soudry
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Neural dynamics and brain function 8
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- stochastic dynamics and bifurcation 4
- Co-authors
- Itay Hubara (6 shared papers)Ron Meir (5 shared papers)Ron Banner (2 shared papers)Yury Nahshan (1 shared paper)Shahar Kvatinsky (3 shared papers)Liam Paninski (3 shared papers)Dotan Di Castro (1 shared paper)Weijian Yang (2 shared papers)
- Journals
- PLoS Computational Biology (3 papers)PLoS ONE (2 papers)Semiconductor Science and Technology (1 paper)Neuron (1 paper)eLife (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Daniel Soudry
29 papers receiving 1.8k citations
Daniel Soudry's Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 688
- Biophysics 201
- Cellular and Molecular Neuroscience 585
- Computer Vision and Pattern Recognition 405
- Computational Mathematics 9
Countries citing papers authored by Daniel Soudry
This map shows the geographic impact of Daniel Soudry'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 Daniel Soudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soudry more than expected).
Fields of papers citing papers by Daniel Soudry
This network shows the impact of papers produced by Daniel Soudry. 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 Daniel Soudry. The network helps show where Daniel Soudry may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Soudry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data Hit paper breakdown → | 2016 | 670 |
| 2 | 2015 | 229 | |
| 3 | Post training 4-bit quantization of convolutional networks for rapid-deployment | 2019 | 192 |
| 4 | Expectation backpropagation: Parameter-free training of multilayer neural networks with continuous or discrete weights | 2014 | 113 |
| 5 | 2020 | 111 | |
| 6 | 2016 | 105 | |
| 7 | Train longer, generalize better: closing the generalization gap in large batch training of neural networks | 2017 | 51 |
| 8 | 2018 | 45 | |
| 9 | 2016 | 36 | |
| 10 | 2017 | 35 | |
| 11 | Characterizing Implicit Bias in Terms of Optimization Geometry | 2018 | 33 |
| 12 | 2012 | 31 | |
| 13 | 2018 | 29 | |
| 14 | 2015 | 27 | |
| 15 | Norm matters: efficient and accurate normalization schemes in deep networks | 2018 | 17 |
| 16 | 2019 | 14 | |
| 17 | 2020 | 10 | |
| 18 | 2012 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2014 | 6 |
About Daniel Soudry
Daniel Soudry is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (7 papers), Advanced Neural Network Applications (6 papers), Neuroscience and Neural Engineering (5 papers), stochastic dynamics and bifurcation (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), CCD and CMOS Imaging Sensors (3 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Cognitive Neuroscience (688 citations), Biophysics (201 citations), Cellular and Molecular Neuroscience (585 citations), Computer Vision and Pattern Recognition (405 citations) and Computational Mathematics (9 citations). Daniel Soudry has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Itay Hubara, Ron Meir, Ron Banner, Yury Nahshan, Shahar Kvatinsky, Liam Paninski, Dotan Di Castro, Weijian Yang, Yu Mu and A. Gal. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Semiconductor Science and Technology, Neuron and eLife.
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.