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115
Voted
NIPS
2004
15 years 2 months ago
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly before a postsynaptic neuron, and synaptic depression when the presynaptic neuron ...
Sander M. Bohte, Michael C. Mozer
103
Voted
WWW
2005
ACM
16 years 1 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
93
Voted
CIMCA
2005
IEEE
15 years 6 months ago
Oscillatory neural network for adaptive dynamical image processing
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Margarita Kuzmina, Edward A. Manykin
108
Voted
ACMACE
2007
ACM
15 years 4 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
95
Voted
IPOM
2009
Springer
15 years 7 months ago
A Network Optimization Model for Multi-layer IP/MPLS over OTN/DWDM Networks
The operational model for large Internet service providers is moving to a multi-layer architecture consisting of IP/MPLS coupled with OTN/DWDM. While there has been significant wo...
Iyad Katib, Deep Medhi