NMDA-based pattern discrimination in a modeled cortical neuron
Neural Computation
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face Authentication Test on the BANCA Database
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A dynamic method to reduce the search space for visual correspondence problems
A dynamic method to reduce the search space for visual correspondence problems
Maplets for correspondence-based object recognition
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Rapid convergence to feature layer correspondences
Neural Computation
Self-organization of topographic bilinear networks for invariant recognition
Neural Computation
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We investigate a possible functional role of glial cells as information routing devices of the cerebral cortex. On the one hand, functionally motivated models of neural information processing were lately suggested which rely on short-term changes of connections between neural modules to dynamically route neural activity. Although successful in practice, the routing mechanisms of these models require synaptic efficacy control of large sets of synapses that is difficult to implement neurally. On the other hand, recent experiments show an active role of glial cells (astrocytes) in the interaction with large numbers of synapses. Astrocytes are sensitive to neurotransmitters released by the presynaptic terminal and in turn can influence synaptic efficacy by release of so called gliotransmitters. An analysis of the most recent literature shows that glial cells are a well-suited and natural candidate for the implementation of information routing mechanisms.