10 citations · 11 across the 6 of their papers we have counts for
6 papers
Structured Information in Metric Neural Networks
David Dominguez, Kostadin Koroutchev, Eduardo Serrano +1
The retrieval abilities of spatially uniform attractor networks can be measured by the average overlap between patterns and neural states. We found that metric networks, with local…
Information and Topology in Attractor Neural Network
D. Dominguez, K. Koroutchev, E. Serrano +1
A wide range of networks, including small-world topology, can be modelled by the connectivity , and randomness of the links. Both learning and attractor abilities of a neura…
Dynamical Neural Network: Information and Topology
David Dominguez, Kostadin Koroutchev, Eduardo Serrano +1
A neural network works as an associative memory device if it has large storage capacity and the quality of the retrieval is good enough. The learning and attractor abilities of the…
Information Capacity of a Hierarchical Neural Network
David Renato Carreta Dominguez
The information conveyed by a hierarchical attractor neural network is examined. The network learns sets of correlated patterns (the examples) in the lowest level of the hierarchic…
Mutual Information of Three-State Low Activity Diluted Neural Networks with Self-Control
D. Bolle', D. R. C. Dominguez, S. Amari
The influence of a macroscopic time-dependent threshold on the retrieval process of three-state extremely diluted neural networks is examined. If the threshold is chosen appropriat…
Inference and Chaos by a Network of Non-monotonic Neurons
D. R. C. Dominguez
The generalization properties of an attractive network of non monotonic neurons which infers concepts from samples are studied. The macroscopic dynamics for the overlap between the…