Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean vectors. Here we present an extension of the original SDM, the Integer SDM that uses modular arithmetic integer vectors rather than binary vectors. This extension preserves many of the desirable properties of the original SDM: auto-associativity, content addressability, distributed storage, and robustness over noisy inputs. In addition, it improves the representation capabilities of the memory and is more robust over normalization. It can also be extended to support forgetting and reliable sequence storage. We performed several simulations that test the noise robustness property and capacity of the memory. Theoretical analyses of the memory\u...
In this work, I present a review on Sparse Distributed Memory for Small Cues (SDMSCue), a variant of...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Described here is sparse distributed memory (SDM) as a neural-net associative memory. It is characte...
Abstract. Sparse distributed memory is an auto-associative memory system that stores high dimensiona...
Challenging AI applications, such as cognitive architectures, natural language understanding, and vi...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
In this paper we introduce an improved binary correlation matrix memory (CMM) with better storage ca...
A new viewpoint of the processing performed by Kanerva's sparse distributed memory (SDM) is pre...
It has been suggested that in certain situations it would make sense to use different activation pro...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
We describe the use of genetic algorithms to initialize a set of hard locations that constitutes the...
In this work, I present a review on Sparse Distributed Memory for Small Cues (SDMSCue), a variant of...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Described here is sparse distributed memory (SDM) as a neural-net associative memory. It is characte...
Abstract. Sparse distributed memory is an auto-associative memory system that stores high dimensiona...
Challenging AI applications, such as cognitive architectures, natural language understanding, and vi...
The Sparse Distributed Memory (SDM)[1] was originally developed to tackle the problem of storing lar...
Memory for Small Cues (SDMSCue), a new variant of Sparse Distributed Memory (SDM) that is capable of...
Abstract—The Sparse Distributed Memory (SDM) proposed by Kanerva provides a simple model for human l...
In this paper we introduce an improved binary correlation matrix memory (CMM) with better storage ca...
A new viewpoint of the processing performed by Kanerva's sparse distributed memory (SDM) is pre...
It has been suggested that in certain situations it would make sense to use different activation pro...
The Sparse Distributed Memory (SDM) project is investigating the theory and applications of massivel...
This paper introduces an Associative List Memory (ALM) that has high recall fidelity with low memory...
The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory wit...
We describe the use of genetic algorithms to initialize a set of hard locations that constitutes the...
In this work, I present a review on Sparse Distributed Memory for Small Cues (SDMSCue), a variant of...
In this work, I present Sparse Distributed Memory for Small Cues (SDMSCue), a new variant of Sparse ...
Described here is sparse distributed memory (SDM) as a neural-net associative memory. It is characte...