210 citations · 382 across the 9 of their papers we have counts for
4 papers · 1 filter
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
S. Burc Eryilmaz, Emre Neftci, Siddharth Joshi +6
Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. Emerging…
Device and System Level Design Considerations for Analog-Non-Volatile-Memory Based Neuromorphic Architectures
Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu +1
This paper gives an overview of recent progress in the brain inspired computing field with a focus on implementation using emerging memories as electronic synapses. Design consider…
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh +4
Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nano…
Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices
S. Burc Eryilmaz, Duygu Kuzum, Rakesh G. D. Jeyasingh +4
The computational performance of the biological brain has long attracted significant interest and has led to inspirations in operating principles, algorithms, and architectures for…