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» A spiking neuron model: applications and learning
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NECO
2007
258views more  NECO 2007»
14 years 12 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
NIPS
2007
15 years 1 months ago
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses su...
Robert A. Legenstein, Dejan Pecevski, Wolfgang Maa...
IJCNN
2007
IEEE
15 years 6 months ago
A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters
— Neurons are point process systems, in the sense that the inputs and output which are spike trains can be treated as point processes. System identification of a point process s...
Il Park, António R. C. Paiva, Jose C. Princ...
119
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ICANN
2005
Springer
15 years 5 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
101
Voted
JCNS
2010
86views more  JCNS 2010»
14 years 10 months ago
Reduced models for binocular rivalry
Binocular rivalry occurs when two very different images are presented to the two eyes, but a subject perceives only one image at a given time. A number of computational models for...
Carlo R. Laing, Thomas Frewen, Ioannis G. Kevrekid...