Jonathan Binas
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Neural dynamics and brain function 8
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- Advanced Memory and Neural Computing 8
- CCD and CMOS Imaging Sensors 2
- Ferroelectric and Negative Capacitance Devices 2
- Co-authors
- Daniel Neil (3 shared papers)Shih‐Chii Liu (3 shared papers)Michael Pfeiffer (4 shared papers)Matthew Cook (1 shared paper)Peter U. Diehl (1 shared paper)Giacomo Indiveri (4 shared papers)Ueli Rutishauser (2 shared papers)Tobi Delbrück (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nano Letters (1 paper)Frontiers in Computational Neuroscience (1 paper)International Conference on Learning Representations (2 papers)Zurich Open Repository and Archive (University of Zurich) (2 papers)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Jonathan Binas
14 papers receiving 951 citations
Jonathan Binas's Hit Papers
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 523
- Electrical and Electronic Engineering 813
- Cellular and Molecular Neuroscience 206
- Artificial Intelligence 273
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Jonathan Binas
This map shows the geographic impact of Jonathan Binas'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 Jonathan Binas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Binas more than expected).
Fields of papers citing papers by Jonathan Binas
This network shows the impact of papers produced by Jonathan Binas. 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 Jonathan Binas. The network helps show where Jonathan Binas may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Binas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing Hit paper breakdown → | 2015 | 639 |
| 2 | 2011 | 104 | |
| 3 | 2013 | 101 | |
| 4 | 2020 | 47 | |
| 5 | 2017 | 33 | |
| 6 | 2014 | 27 | |
| 7 | 2016 | 13 | |
| 8 | 2018 | 11 | |
| 9 | Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives | 2020 | 2 |
| 10 | Out-of-Distribution Generalization via Risk Extrapolation (REx) | 2021 | 2 |
| 11 | State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations | 2019 | 1 |
| 12 | Extending the Framework of Equilibrium Propagation to General Dynamics | 2018 | 1 |
| 13 | 2015 | 1 | |
| 14 | Retrieving Signals with Deep Complex Extractors | 2019 | 1 |
About Jonathan Binas
Jonathan Binas is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Mechanical Engineering, having authored 14 papers that have together received 983 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (8 papers), Neural Networks and Reservoir Computing (3 papers), Neural Networks and Applications (2 papers), CCD and CMOS Imaging Sensors (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Luminescence and Fluorescent Materials (1 paper). The work is most often cited by research in Cognitive Neuroscience (523 citations), Electrical and Electronic Engineering (813 citations), Cellular and Molecular Neuroscience (206 citations), Artificial Intelligence (273 citations) and Computer Vision and Pattern Recognition (71 citations). Jonathan Binas has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Daniel Neil, Shih‐Chii Liu, Michael Pfeiffer, Matthew Cook, Peter U. Diehl, Giacomo Indiveri, Ueli Rutishauser, Tobi Delbrück, Elisabetta Chicca and Emre Neftci. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nano Letters, Frontiers in Computational Neuroscience, International Conference on Learning Representations and Zurich Open Repository and Archive (University of Zurich).
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.