224 citations · 592 across the 25 of their papers we have counts for
4 papers · 1 filter
Stacked unsupervised learning with a network architecture found by supervised meta-learning
Kyle Luther, H. Sebastian Seung
Stacked unsupervised learning (SUL) seems more biologically plausible than backpropagation, because learning is local to each layer. But SUL has fallen far short of backpropagation…
Kernel similarity matching with Hebbian neural networks
Kyle Luther, H. Sebastian Seung
Recent works have derived neural networks with online correlation-based learning rules to perform \textit{kernel similarity matching}. These works applied existing linear similarit…
A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination
H. Sebastian Seung, Jonathan Zung
Much has been learned about plasticity of biological synapses from empirical studies. Hebbian plasticity is driven by correlated activity of presynaptic and postsynaptic neurons. S…
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines
Aleksandar Zlateski, Kisuk Lee, H. Sebastian Seung
Convolutional networks (ConvNets) have become a popular approach to computer vision. It is important to accelerate ConvNet training, which is computationally costly. We propose a n…