Picture for Melika Payvand

Melika Payvand

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

Apr 15, 2023
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander Bohte, Younes Bouhadjar, Sonia Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve Furber, 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 Michmizos, Dylan Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayca Ozcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Sun Pao-Sheng, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine Schuman, Jae-sun Seo, Sadique Sheik, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth 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

Figure 1 for NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

Access Paper or Ask Questions

On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks

Nov 21, 2020
Melika Payvand, Mohammed E. Fouda, Fadi Kurdahi, Ahmed M. Eltawil, Emre O. Neftci

Figure 1 for On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks

Figure 2 for On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks

Figure 3 for On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks

Figure 4 for On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks

* 15 pages, 11 figures, Journal of Emerging Technology in Circuits and Systems (JETCAS)

Access Paper or Ask Questions

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Jul 14, 2020
Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri

Figure 1 for Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Figure 2 for Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Figure 3 for Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

Figure 4 for Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence

* 11 pages, 9 figures, TCAS submission

Access Paper or Ask Questions

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Jul 11, 2020
Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri

Figure 1 for Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Figure 2 for Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Figure 3 for Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

Figure 4 for Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

* Submitted to IEEE Transactions on Biomedical Circuits and Systems (21 pages, 10 figures, 5 tables)

Access Paper or Ask Questions