A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. Analog circuit techniques are used to construct a network that evolves towards fully restored (digital) fixed-points that are the memories of the system. Association occurs on the whole source word, each bit of which may assume a continuous analog value. The network does not require the distinction of a search key from a data field in either the source or target words. A key may be dynamically defined by differentially weighting any subset of the source word. The key need not be exact; the system will evolve to the closest memory. In the case when the key is the whole input word, the system may be thought of as performing error correction
A model for a class of high-capacity associative memories is presented. Since they are based on two-...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Rückert U. VLSI Implementation of an Associative Memory Based on Distributed Storage of Information....
A large scale collective system implementing a specific model for associative memory was described b...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
In this paper we describe the VLSI design and testing of a high capacity associative memory which w...
Rückert U, Goser K. Adaptive Associative Systems For VLSI. In: Becker JD, Eisele I, eds. WOPPLOT 86 ...
The paper describes a highly-scalable associative memory network capable of handling multiple stream...
A method for the storage of analog vectors, i.e., vectors whose components are real-valued, is devel...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...
A method for storing analog vectors in Hopfield's continuous feedback model is proposed. By analog ...
Associative memories, in contrast to conventional address-based memories, are inherently fault-to...
Goser K, Fölster C, Rückert U. Intelligent Memories in VLSI. Information Sciences. 1984;34(1):61-82....
A model for a class of high-capacity associative memories is presented. Since they are based on two-...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...
A radically new type of associative memory, the ASSOCMEM, has been implemented in VLSI and tested. A...
Rückert U. VLSI Implementation of an Associative Memory Based on Distributed Storage of Information....
A large scale collective system implementing a specific model for associative memory was described b...
Rückert U. An Associative Memory with Neural Architecture and its VLSI Implementation. In: Milutinov...
In this paper we describe the VLSI design and testing of a high capacity associative memory which w...
Rückert U, Goser K. Adaptive Associative Systems For VLSI. In: Becker JD, Eisele I, eds. WOPPLOT 86 ...
The paper describes a highly-scalable associative memory network capable of handling multiple stream...
A method for the storage of analog vectors, i.e., vectors whose components are real-valued, is devel...
Pattern recognition and learning are basic functions, which are needed to build artificial systems w...
A method for storing analog vectors in Hopfield's continuous feedback model is proposed. By analog ...
Associative memories, in contrast to conventional address-based memories, are inherently fault-to...
Goser K, Fölster C, Rückert U. Intelligent Memories in VLSI. Information Sciences. 1984;34(1):61-82....
A model for a class of high-capacity associative memories is presented. Since they are based on two-...
In this paper we describe the VLSI design and testing of a high capacity associative memory which we...
While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Inf...