Brian Taba
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in ⓘ
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- Advanced Memory and Neural Computing 8
- CCD and CMOS Imaging Sensors 3
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- Neuroscience and Neural Engineering 4
- Co-authors
- Dharmendra S. Modha (5 shared papers)John V. Arthur (4 shared papers)Paul Merolla (4 shared papers)Andrew S. Cassidy (4 shared papers)Myron Flickner (4 shared papers)Arnon Amir (4 shared papers)W. P. Risk (3 shared papers)Rodrigo Alvarez-Icaza (3 shared papers)
- Journals
- Science (1 paper)IBM Journal of Research and Development (1 paper)Proceedings of the National Academy of Sciences (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)Zurich Open Repository and Archive (University of Zurich) (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Brian Taba
8 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 1.6k
- Electrical and Electronic Engineering 4.8k
- Artificial Intelligence 1.7k
- Computer Vision and Pattern Recognition 435
Countries citing papers authored by Brian Taba
This map shows the geographic impact of Brian Taba'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 Brian Taba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Taba more than expected).
Fields of papers citing papers by Brian Taba
This network shows the impact of papers produced by Brian Taba. 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 Brian Taba. The network helps show where Brian Taba may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Taba, 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 | A million spiking-neuron integrated circuit with a scalable communication network and interface Hit paper breakdown → | 2014 | 2780 |
| 2 | TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip Hit paper breakdown → | 2015 | 1064 |
| 3 | A Low Power, Fully Event-Based Gesture Recognition System Hit paper breakdown → | 2017 | 559 |
| 4 | Convolutional networks for fast, energy-efficient neuromorphic computing Hit paper breakdown → | 2016 | 482 |
| 5 | Event-Based Vision: A Survey Hit paper breakdown → | 2020 | 417 |
| 6 | Topographic Map Formation by Silicon Growth Cones | 2002 | 13 |
| 7 | 2015 | 12 | |
| 8 | Silicon growth cones map silicon retina | 2005 | 8 |
About Brian Taba
Brian Taba is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Molecular Biology, having authored 8 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (4 papers), CCD and CMOS Imaging Sensors (3 papers), Neural dynamics and brain function (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Hand Gesture Recognition Systems (1 paper), Robotics and Sensor-Based Localization (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (1.6k citations), Electrical and Electronic Engineering (4.8k citations), Artificial Intelligence (1.7k citations) and Computer Vision and Pattern Recognition (435 citations). Brian Taba has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Dharmendra S. Modha, John V. Arthur, Paul Merolla, Andrew S. Cassidy, Myron Flickner, Arnon Amir, W. P. Risk, Rodrigo Alvarez-Icaza, Bryan L. Jackson and Jun Sawada. Their work appears in journals such as Science, IBM Journal of Research and Development, Proceedings of the National Academy of Sciences, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 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.