Journal
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
Volume 2012, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2012/476324
Keywords
-
Categories
Funding
- Ministry of Science and Innovation of Spain
- European Union
- FEDER [TIN2009-07707]
- Xunta de Galicia, Spain [REGICC 2009/58, 08SIN010105PR, 10SIN105004PR]
- CYTED (Ibero-NBIC Network) [209RT0366]
Ask authors/readers for more resources
The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has been shown that systems which include artificial neurons and astrocytes (Artificial Neuron-Glia Networks) have well-known advantages over identical systems including only artificial neurons. Since the actual impact of astrocytes in neural network function is unknown, we have investigated, using computational models, different astrocyte-neuron interactions for information processing; different neuron-glia algorithms have been implemented for training and validation of multilayer Artificial Neuron-Glia Networks oriented toward classification problem resolution. The results of the tests performed suggest that all the algorithms modelling astrocyte-induced synaptic potentiation improved artificial neural network performance, but their efficacy depended on the complexity of the problem.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available