211 citations · 527 across the 17 of their papers we have counts for
4 papers · 1 filter
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
Chenqi Li, Corey Lammie, Xuening Dong +3
During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly. However, despite significant performance improvements, their hardware imple…
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi +3
Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities. The development of customized hardware implementin…
Navigating Local Minima in Quantized Spiking Neural Networks
Jason K. Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi +1
Spiking and Quantized Neural Networks (NNs) are becoming exceedingly important for hyper-efficient implementations of Deep Learning (DL) algorithms. However, these networks face ch…
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures
Corey Lammie, Jason K. Eshraghian, Chenqi Li +4
The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL…