The role of topographical constraints in face recognition
Pattern Recognition Letters
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Map-Seeking Circuits in Visual Cognition: A Computational Mechanism for Biological and Machine Vision
Macrocolumns as Decision Units
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Face Authentication Test on the BANCA Database
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Maplets for correspondence-based object recognition
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Hierarchial self-organization of minicolumnar receptive fields
Neural Networks - 2004 Special issue: New developments in self-organizing systems
What is the optimal architecture for visual information routing?
Neural Computation
A dynamical model for receptive field self-organization in V1 cortical columns
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Dynamics of cortical columns – sensitive decision making
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Dynamics of cortical columns – self-organization of receptive fields
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Rapid correspondence finding in networks of cortical columns
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Glial cells for information routing?
Cognitive Systems Research
Learning of Neural Information Routing for Correspondence Finding
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Learning from Examples to Generalize over Pose and Illumination
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Learning of lateral connections for representational invariant recognition
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
A multifactor winner-take-all dynamics
Neural Computation
Self-organization of topographic bilinear networks for invariant recognition
Neural Computation
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We describe a neural network able to rapidly establish correspondence between neural feature layers. Each of the network's two layers consists of interconnected cortical columns, and each column consists of inhibitorily coupled subpopulations of excitatory neurons. The dynamics of the system builds on a dynamic model of a single column, which is consistent with recent experimental findings. The network realizes dynamic links between its layers with the help of specialized columns that evaluate similarities between the activity distributions of local feature cell populations, are subject to a topology constraint, and can gate the transfer of feature information between the neural layers. The system can robustly be applied to natural images, and correspondences are found in time intervals estimated to be smaller than 100 ms in physiological terms.