Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms
- Angeliki Pantazi
- Bipin Rajendran
- et al.
- 2022
- Frontiers in Neuroscience
Publications
This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Year
14 results at Frontiers in Neuroscience
Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer
- Arne Heittmann
- Georgia Psychou
- et al.
- 2022
- Frontiers in Neuroscience
Accelerating DNN Training Through Selective Localized Learning
- Sarada Krithivasan
- Sanchari Sen
- et al.
- 2022
- Frontiers in Neuroscience
Impact of Asymmetric Weight Update on Neural Network Training With Tiki-Taka Algorithm
- Chaeun Lee
- Kyungmi Noh
- et al.
- 2022
- Frontiers in Neuroscience
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
- Juan Nunez
- Maria J. Avedillo
- et al.
- 2021
- Frontiers in Neuroscience
Coupled VO2 Oscillators Circuit as Analog First Layer Filter in Convolutional Neural Networks
- Elisabetta Corti
- Joaquin Antonio Cornejo Jimenez
- et al.
- 2021
- 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
- W. 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