Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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21 results at Frontiers in Neuroscience

Neuromorphic Systems Design by Matching Inductive Biases to Hardware Constraints
- - Lorenz K. Muller
  - Pascal Stark
  - et al.
- 2020
- 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