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ORCIDMike Davies 0002
Person information
- affiliation: Intel Labs, Neuromorphic Computing Lab, Santa Clara, CA, USA
- affiliation: Fulcrum Microsystems, Calabasas, CA, USA
- affiliation: California Institute of Technology, Pasadena, CA, USA
Other persons with the same name
- Mike Davies — disambiguation page
- Mike E. Davies 0001
![[0000-0003-2327-236X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-2327-236X")
(aka: Michael E. Davies 0001, Michael Evan Davies 0001, Mike Davies 0001, Michael Davies 0001) — Edinburgh University, School of Engineering and Electronics, Institute of Digital Communications (IDCOM), Edinburgh, UK (and 1 more)
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Journal Articles
- 2023
[j8]Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies:
The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. 3(3): 34005 (2023)- 2022
- [j7]Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110(10): 1538-1571 (2022) - [j6]Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94(10): 917-927 (2022) - 2021
- [j5]Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud:
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. Proc. IEEE 109(5): 911-934 (2021) - 2019
- [j4]Mike Davies:
Benchmarks for progress in neuromorphic computing. Nat. Mach. Intell. 1(9): 386-388 (2019) - [j3]Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang:
Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. 36(6): 12-15 (2019) - 2018
- [j2]Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Yongqiang Cao, Mike Davies, Daniel M. Lavery, Hong Wang:
Programming Spiking Neural Networks on Intel's Loihi. Computer 51(3): 52-61 (2018) - [j1]Mike Davies, Narayan Srinivasa, Tsung-Han Lin, Gautham N. Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios D. Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, Yuyun Liao, Chit-Kwan Lin, Andrew Lines, Ruokun Liu, Deepak Mathaikutty, Steven McCoy, Arnab Paul, Jonathan Tse, Guruguhanathan Venkataramanan, Yi-Hsin Weng, Andreas Wild, Yoonseok Yang, Hong Wang:
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. IEEE Micro 38(1): 82-99 (2018)
Conference and Workshop Papers
- 2026
- [c11]Lyes Khacef, Philipp Weidel, Susumu Hogyoku, Harry Liu, Claire Alexandra Bräuer, Shunsuke Koshino, Takeshi Oyakawa, Vincent Parret, Yoshitaka Miyatani, Mike Davies, Mathis Richter:
Privacy-Preserving Fall Detection at the Edge Using Sony IMX636 Event-Based Vision Sensor and Intel Loihi 2 Neuromorphic Processor. NICE 2026: 1-10 - 2024
- [c10]Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies:
Efficient Video and Audio Processing with Loihi 2. ICASSP 2024: 13481-13485 - 2021
- [c9]Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS 2021: 254-259 - [c8]Mike Davies:
Lessons from Loihi: Progress in Neuromorphic Computing. VLSI Circuits 2021: 1-2 - 2020
- [c7]Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE 2020: 23:1-23:10 - 2019
- [c6]Mike Davies:
Progress in Neuromorphic Computing : Drawing Inspiration from Nature for Gains in AI and Computing. VLSI-DAT 2019: 1 - 2018
- [c5]Andrew Lines, Prasad Joshi, Ruokun Liu, Steve McCoy, Jonathan Tse, Yi-Hsin Weng, Mike Davies:
Loihi Asynchronous Neuromorphic Research Chip. ASYNC 2018: 32-33 - [c4]Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Tsung-Han Lin, Mike Davies, Hong Wang:
Mapping spiking neural networks onto a manycore neuromorphic architecture. PLDI 2018: 78-89 - 2014
- [c3]Mike Davies, Andrew Lines, Jon Dama, Alain Gravel, Robert Southworth, Georgios D. Dimou, Peter A. Beerel:
A 72-Port 10G Ethernet Switch/Router Using Quasi-Delay-Insensitive Asynchronous Design. ASYNC 2014: 103-104 - 2011
- [c2]Mike Davies:
One billion packet per second frame processing pipeline. Hot Chips Symposium 2011: 1-24 - 2006
- [c1]Peter A. Beerel, Nam-Hoon Kim, Andrew Lines, Mike Davies:
Slack Matching Asynchronous Designs. ASYNC 2006: 184-194
Informal and Other Publications
- 2025
- [i9]Elvin Hajizada, Danielle Rager, Timothy Shea, Leobardo Campos-Macias, Andreas Wild, Eyke Hüllermeier, Yulia Sandamirskaya, Mike Davies:
Real-time Continual Learning on Intel Loihi 2. CoRR abs/2511.01553 (2025) - [i8]Lyes Khacef, Philipp Weidel, Susumu Hogyoku, Harry Liu, Claire Alexandra Bräuer, Shunsuke Koshino, Takeshi Oyakawa, Vincent Parret, Yoshitaka Miyatani, Mike Davies, Mathis Richter:
Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor. CoRR abs/2511.22554 (2025) - 2023
- [i7]Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies:
The Intel Neuromorphic DNS Challenge. CoRR abs/2303.09503 (2023) - [i6]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i5]Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies:
Efficient Video and Audio processing with Loihi 2. CoRR abs/2310.03251 (2023) - 2021
- [i4]Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer:
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR abs/2106.05268 (2021) - [i3]Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies:
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR abs/2111.03746 (2021) - 2020
- [i2]Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies:
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR abs/2004.12691 (2020) - 2017
- [i1]Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies:
Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results. CoRR abs/1705.05475 (2017)
Coauthor Index
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