Neural Networks
114 papers
Papers per year
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5
4
2
2
5
7
6
4
2
1
1
3
6
11
6
8
8
16
11
5
'10
'15
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'25
Papers
On Herding and the Perceptron Cycling Theorem
NeurIPS 2010
Over-complete representations on recurrent neural networks can support persistent percepts
NeurIPS 2010
Code-specific policy gradient rules for spiking neurons
NeurIPS 2009
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
NeurIPS 2009
Implicit Mixtures of Restricted Boltzmann Machines
NeurIPS 2008
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
NeurIPS 2008
Tracking Changing Stimuli in Continuous Attractor Neural Networks
NeurIPS 2008
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
NeurIPS 2008
A neural network implementing optimal state estimation based on dynamic spike train decoding
NeurIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
NeurIPS 2007
An online Hebbian learning rule that performs Independent Component Analysis
NeurIPS 2007
Learning to classify complex patterns using a VLSI network of spiking neurons
NeurIPS 2007
On higher-order perceptron algorithms
NeurIPS 2007
Attentional Processing on a Spike-Based VLSI Neural Network
NeurIPS 2006