7 search results - page 1 / 2 » A Gradient Rule for the Plasticity of a Neuron's Intrinsic E... |
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
IJON
2007
13 years 4 months ago
2007
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
NECO
2008
13 years 4 months ago
2008
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
ESANN
2007
13 years 6 months ago
2007
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
NECO
2007
13 years 4 months ago
2007
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 (...