23 citations · 32 across the 8 of their papers we have counts for
4 papers · 1 filter
In-memory Associative Processors: Tutorial, Potential, and Challenges
Mohammed E. Fouda, Hasan Erdem Yantir, Ahmed M. Eltawil +1
In-memory computing is an emerging computing paradigm that overcomes the limitations of exiting Von-Neumann computing architectures such as the memory-wall bottleneck. In such para…
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays
Melika Payvand, Mohammed Fouda, Fadi Kurdahi +2
Recent breakthroughs suggest that local, approximate gradient descent learning is compatible with Spiking Neural Networks (SNNs). Although SNNs can be scalably implemented using ne…
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective
M. E. Fouda, F. Kurdahi, A. Eltawil +1
On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adapta…
On Resistive Memories: One Step Row Readout Technique and Sensing Circuitry
Mohammed E Fouda, Ahmed M. Eltawil, Fadi Kurdahi
Transistor-based memories are rapidly approaching their maximum density per unit area. Resistive crossbar arrays enable denser memory due to the small size of switching devices. Ho…