This letter presents a crosscorrelational associative memory model which realizes selective retrieval of pattern sequences. When hierarchically correlated sequences are memorized, sequences of the correlational centers can be defined as the concept sequences. The authors propose a modified neuro-window method which enables selective retrieval of memory sequences and concept sequences. It is also shown that the proposed model realizes capacity expansion of the memory which stores random sequences
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A class of hierarchical neural network models introduced by Dotsenko for the storage and associative...
A class of hierarchical neural network models introduced by Dotsenko for the storage and associative...
This letter presents a crosscorrelational associative memory model which realizes selective retrieva...
Associative memories enjoy many interesting properties in terms of error correction capabilities, ro...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
Abstract Assigning categories to objects allows the mind to code experience by concepts, thus easing...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
Describes search of associative memory (SAM), a general theory of retrieval from long-term memory th...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
In this work we study the effects of three different strategies to associate memories in a neural ne...
Abstract—An extension to a recently introduced architecture of clique-based neural networks is prese...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
Auto-associative memories store a set of patterns and retrieve them by resorting to a part of their ...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A class of hierarchical neural network models introduced by Dotsenko for the storage and associative...
A class of hierarchical neural network models introduced by Dotsenko for the storage and associative...
This letter presents a crosscorrelational associative memory model which realizes selective retrieva...
Associative memories enjoy many interesting properties in terms of error correction capabilities, ro...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
Abstract Assigning categories to objects allows the mind to code experience by concepts, thus easing...
Abstract—We consider the problem of neural association, which deals with the retrieval of a previous...
Describes search of associative memory (SAM), a general theory of retrieval from long-term memory th...
The human brain has a remarkable capability to recall information if a sufficient clue is presented....
In this work we study the effects of three different strategies to associate memories in a neural ne...
Abstract—An extension to a recently introduced architecture of clique-based neural networks is prese...
In this thesis, cognitive models of associative memory are developed. The cognitive view of memory i...
Auto-associative memories store a set of patterns and retrieve them by resorting to a part of their ...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A number of neural network models, in which fixed-point and limit-cycle attractors of the underlying...
A class of hierarchical neural network models introduced by Dotsenko for the storage and associative...
A class of hierarchical neural network models introduced by Dotsenko for the storage and associative...