Mike Davies - RankMe

27 papers A* 1Misc 1Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Privacy-preserving fall detection at the edge using Sony IMX636 event-based vision sensor and Intel Loihi 2 neuromorphic processor. CoRR Lyes Khacef, Philipp Weidel, Susumu Hogyoku, Harry Liu, Claire Alexandra Bräuer, Shunsuke Koshino, Takeshi Oyakawa, Vincent Parret, Yoshitaka Miyatani, Mike Davies, Mathis Richter
2025	J	`jnl`	Real-time Continual Learning on Intel Loihi 2. CoRR Elvin Hajizada, Danielle Rager, Timothy Shea, Leobardo Campos-Macias, Andreas Wild, Eyke Hüllermeier, Yulia Sandamirskaya, Mike Davies
2024	Misc	`conf`	Efficient Video and Audio Processing with Loihi 2. ICASSP Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
2023	J	`jnl`	Efficient Video and Audio processing with Loihi 2. CoRR Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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
2023	J	`jnl`	The Intel Neuromorphic DNS Challenge. CoRR Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies
2023	J	`jnl`	The Intel neuromorphic DNS challenge. Neuromorph. Comput. Eng. Jonathan Timcheck, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Adam Kupryjanow, Garrick Orchard, Lukasz Pindor, Timothy M. Shea, Mike Davies
2022	J	`jnl`	Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
2022	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 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
2021	J	`jnl`	Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. Proc. IEEE Mike Davies, Andreas Wild, Garrick Orchard, Yulia Sandamirskaya, Gabriel A. Fonseca Guerra, Prasad Joshi, Philipp Plank, Sumedh R. Risbud
2021	—	`conf`	Efficient Neuromorphic Signal Processing with Loihi 2. SiPS Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2021	J	`jnl`	Efficient Neuromorphic Signal Processing with Loihi 2. CoRR Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
2021	—	`conf`	Lessons from Loihi: Progress in Neuromorphic Computing. VLSI Circuits Mike Davies
2021	J	`jnl`	Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR 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
2020	—	`conf`	Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
2020	J	`jnl`	Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
2019	J	`jnl`	Benchmarks for progress in neuromorphic computing. Nat. Mach. Intell. Mike Davies
2019	J	`jnl`	Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]. IEEE Signal Process. Mag. Osvaldo Simeone, Bipin Rajendran, André Grüning, Evangelos Eleftheriou, Mike Davies, Sophie Denève, Guang-Bin Huang
2019	—	`conf`	Progress in Neuromorphic Computing : Drawing Inspiration from Nature for Gains in AI and Computing. VLSI-DAT Mike Davies
2018	—	`conf`	Loihi Asynchronous Neuromorphic Research Chip. ASYNC Andrew Lines, Prasad Joshi, Ruokun Liu, Steve McCoy, Jonathan Tse, Yi-Hsin Weng, Mike Davies
2018	J	`jnl`	Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. IEEE Micro 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
2018	A*	`conf`	Mapping spiking neural networks onto a manycore neuromorphic architecture. PLDI Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Tsung-Han Lin, Mike Davies, Hong Wang
2018	J	`jnl`	Programming Spiking Neural Networks on Intel's Loihi. Computer Chit-Kwan Lin, Andreas Wild, Gautham N. Chinya, Yongqiang Cao, Mike Davies, Daniel M. Lavery, Hong Wang
2017	J	`jnl`	Sparse Coding by Spiking Neural Networks: Convergence Theory and Computational Results. CoRR Ping Tak Peter Tang, Tsung-Han Lin, Mike Davies
2014	—	`conf`	A 72-Port 10G Ethernet Switch/Router Using Quasi-Delay-Insensitive Asynchronous Design. ASYNC Mike Davies, Andrew Lines, Jon Dama, Alain Gravel, Robert Southworth, Georgios D. Dimou, Peter A. Beerel
2011	—	`conf`	One billion packet per second frame processing pipeline. Hot Chips Symposium Mike Davies
2006	—	`conf`	Slack Matching Asynchronous Designs. ASYNC Peter A. Beerel, Nam-Hoon Kim, Andrew Lines, Mike Davies