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02/20/2021
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
Many real-world mission-critical applications require continual online l...
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10/27/2019
Inherent Weight Normalization in Stochastic Neural Networks
Multiplicative stochasticity such as Dropout improves the robustness and...
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06/19/2018
Contrastive Hebbian Learning with Random Feedback Weights
Neural networks are commonly trained to make predictions through learnin...
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09/29/2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Embedded, continual learning for autonomous and adaptive behavior is a k...
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07/14/2017
Sustainable computational science: the ReScience initiative
Computer science offers a large set of tools for prototyping, writing, r...
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12/16/2016
Neuromorphic Deep Learning Machines
An ongoing challenge in neuromorphic computing is to devise general and ...
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07/11/2016