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NECO
2007
258views more  NECO 2007»
13 years 7 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
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 18 days ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
NIPS
2000
13 years 9 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
IJON
2007
91views more  IJON 2007»
13 years 7 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers
DDEP
2000
Springer
14 years 4 days ago
Context-Aware Digital Documents Described in a High-Level Petri Net-Based Hypermedia System
As mobile computing becomes widespread, so will the need for digital document delivery by hypertextual means. A further trend will be the provision of the ability for devices to de...
Jin-Cheon Na, Richard Furuta