Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints
- Lorenz K. Muller
- Pascal Stark
- et al.
- 2020
- Frontiers in Neuroscience
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21 results at Frontiers in Neuroscience
Mixed-Precision Deep Learning Based on Computational Memory
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2020
- Frontiers in Neuroscience
Algorithm for Training Neural Networks on Resistive Device Arrays
- Tayfun Gokmen
- Wilfried Haensch
- 2020
- Frontiers in Neuroscience
RAPA-convNets: Modified convolutional networks for accelerated training on architectures with analog arrays
- Malte J. Rasch
- Tayfun Gokmen
- et al.
- 2019
- Frontiers in Neuroscience
Neuromorphic hardware learns to learn
- T. Bohnstingl
- Franz Scherr
- et al.
- 2019
- Frontiers in Neuroscience
Training LSTM Networks With Resistive Cross-Point Devices
- Tayfun Gokmen
- Malte J. Rasch
- et al.
- 2018
- Frontiers in Neuroscience
Training deep convolutional neural networks with resistive cross-point devices
- Tayfun Gokmen
- Murat Onen
- et al.
- 2017
- Frontiers in Neuroscience
Acceleration of deep neural network training with resistive cross-point devices: Design considerations
- Tayfun Gokmen
- Yurii A. Vlasov
- 2016
- Frontiers in Neuroscience
Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array
- Sukru B. Eryilmaz
- Duygu Kuzum
- et al.
- 2014
- Frontiers in Neuroscience
Implementation of olfactory bulb glomerular-layer computations in a digital neurosynaptic core
- Nabil Imam
- Thomas A. Cleland
- et al.
- 2012
- Frontiers in Neuroscience