3 citations · 5 across the 2 of their papers we have counts for
3 papers · 1 filter
SpikeDuet: CPU-Accelerator Co-Execution of Sparse SNNs on Commodity MCUs
Muhammad Fahd Ibrahim Bhatti, Muhammad Ali Siddiqi
Spiking neural networks (SNNs) expose sparse event activity, but commodity microcontrollers increasingly pair general-purpose processors with dense matrix-vector accelerators whose…
VQ-LIC: Shared Vector-Quantized Learned Image Compression on a Resource-Constrained FPGA
Muhammad Fahd Ibrahim Bhatti, Abdullah Bin Faisal, Ahsan Usman +2
Learned image compression (LIC) is hard to deploy on severely resource-constrained FPGAs, since how fast it actually runs depends not just on arithmetic count, but also on memory t…
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer +6
Electrophysiological recordings of neural activity in a mouse's brain are very popular among neuroscientists for understanding brain function. One particular area of interest is ac…