Craig M. Vineyard

A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications

Conrad D. James, James B. Aimone, Nadine E. Miner et al. · Biologically Inspired Cognitive Architectures · 2017 · 110 citations · Full text

Engineering, Computational Neuroscience, Unconventional Computing +13

Training deep neural networks for binary communication with the Whetstone method

William Severa, Craig M. Vineyard, Ryan Dellana et al. · Nature Machine Intelligence · 2019 · 95 citations · Full text

Convolutional Neural Network, Deep Neural Networks, Whetstone Method +11

Neurogenesis deep learning: Extending deep networks to accommodate new classes

Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb et al. · 2017 · 82 citations · Full text

Deep Layers, Convolutional Neural Network, Engineering +17

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication

William Severa, Craig M. Vineyard, Ryan Dellana et al. · arXiv (Cornell University) · 2018 · 25 citations · Full text

Computing with Spikes: The Advantage of Fine-Grained Timing

Stephen Verzi, Fredrick Rothganger, Ojas Parekh et al. · Neural Computation · 2018 · 23 citations · Full text

Engineering, Computer Architecture, Neurochip +19