Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
A novel Episodic Associative Memory model for enhanced classification accuracy
Pattern Recognition Letters
A New Associative Model with Dynamical Synapses
Neural Processing Letters
Associative memory of connectivity patterns
Neurocomputing
3D object recognition based on low frequency response and random feature selection
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
A new bi-directional associative memory
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
On fuzzy associative memory with multiple-rule storage capacity
IEEE Transactions on Fuzzy Systems
On new fuzzy morphological associative memories
IEEE Transactions on Fuzzy Systems
BAM-type Cohen-Grossberg neural networks with time delays
Mathematical and Computer Modelling: An International Journal
Global Hopf bifurcation analysis on a BAM neural network with delays
Mathematical and Computer Modelling: An International Journal
Morphological associative memories
IEEE Transactions on Neural Networks
Improving Leung's bidirectional learning rule for associative memories
IEEE Transactions on Neural Networks
Encoding strategy for maximum noise tolerance bidirectional associative memory
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Sensitivity to noise in bidirectional associative memory (BAM)
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A bidirectional heteroassociative memory for binary and grey-level patterns
IEEE Transactions on Neural Networks
Dynamics analysis and analog associative memory of networks with LT neurons
IEEE Transactions on Neural Networks
Gray-scale morphological associative memories
IEEE Transactions on Neural Networks
Associative Memory Design Using Support Vector Machines
IEEE Transactions on Neural Networks
Improvements of Complex-Valued Hopfield Associative Memory by Using Generalized Projection Rules
IEEE Transactions on Neural Networks
Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays
IEEE Transactions on Neural Networks
A Weighted Voting Model of Associative Memory
IEEE Transactions on Neural Networks
An analysis of high-capacity discrete exponential BAM
IEEE Transactions on Neural Networks
Low frequency response and random feature selection applied to face recognition
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Geometric Associative Processing Applied to Pattern Classification
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Morphological Hetero-Associative Memories Applied to Restore True-Color Patterns
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
A class of sparsely connected autoassociative morphological memories for large color images
IEEE Transactions on Neural Networks
Morphological auto-associative memories applied to true-color image patterns
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Color image associative memory on a class of Cohen-Grossberg networks
Pattern Recognition
Median hetero-associative memories applied to the categorization of true-color patterns
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Nonlinear quantization on Hebbian-type associative memories
Applied Intelligence
Quantale-based autoassociative memories with an application to the storage of color images
Pattern Recognition Letters
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Classical bidirectional associative memories (BAM) have poor memory storage capacity, are sensitive to noise, are subject to spurious steady states during recall, and can only recall bipolar patterns. In this paper, we introduce a new bidirectional hetero-associative memory model for true-color patterns that uses the associative model with dynamical synapses recently introduced in Vazquez and Sossa (Neural Process Lett, Submitted, 2008). Synapses of the associative memory could be adjusted even after the training phase as a response to an input stimulus. Propositions that guarantee perfect and robust recall of the fundamental set of associations are provided. In addition, we describe the behavior of the proposed associative model under noisy versions of the patterns. At last, we present some experiments aimed to show the accuracy of the proposed model with a benchmark of true-color patterns.