7 search results - page 1 / 2 » Neural Plasticity and Minimal Topologies for Reward-Based Le... |
HIS
2008
13 years 6 months ago
2008
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
SAB
2010
Springer
13 years 3 months ago
2010
Springer
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
ICONIP
2010
13 years 2 months ago
2010
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
NPL
2006
13 years 4 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...