2 citations · 3 across the 3 of their papers we have counts for
3 papers
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems
Mark D. McDonnell, Hesham Mostafa, Runchun Wang +1
Batch-normalization (BN) layers are thought to be an integrally important layer type in today's state-of-the-art deep convolutional neural networks for computer vision tasks such a…
A neuromorphic hardware framework based on population coding
Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang +2
In the biological nervous system, large neuronal populations work collaboratively to encode sensory stimuli. These neuronal populations are characterised by a diverse distribution…
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing
J. Tapson, G. Cohen, S. Afshar +5
The advent of large scale neural computational platforms has highlighted the lack of algorithms for synthesis of neural structures to perform predefined cognitive tasks. The Neural…