International audienceWe study various models of associative memories with sparse information, i.e. a pattern to be stored is a random string of 0s and 1s with about logN 1s, only. We compare different synaptic weights, architectures and retrieval mechanisms to shed light on the influence of the various parameters on the storage capacity
Describes search of associative memory (SAM), a general theory of retrieval from long-term memory th...
International audienceAssociative memories are data structures that allow retrieval of previously st...
A theory for the storage and retrieval of item and associative information is presented. In the theo...
International audienceWe study various models of associative memories with sparse information, i.e. ...
International audienceAssociative memories are data structures addressed using part of the content r...
An associative memory is a structure learned from a datasetM of vectors (signals) in a way such that...
Much evidence indicates that the perirhinal cortex is involved in the familiarity discrimination asp...
In this paper we report experiments designed to find the relationship between the different paramete...
We introduce and analyze a minimal network model of semantic memory in the human brain. The model is...
International audienceWillshaw networks are a type of associative memories with a storing mechanism ...
In this paper we report experiments designed to find the relationship between the different paramete...
According to one of the folk tenets neural associative memories are robust, i.e. computation in them...
In this paper a binary associative network model with minimal number of connections is examined and ...
In some neuronal networks in the brain which are thought to operate as associative memories, a spars...
The memory capacities for auto- and hetero-associative incompletely connected memories are calculate...
Describes search of associative memory (SAM), a general theory of retrieval from long-term memory th...
International audienceAssociative memories are data structures that allow retrieval of previously st...
A theory for the storage and retrieval of item and associative information is presented. In the theo...
International audienceWe study various models of associative memories with sparse information, i.e. ...
International audienceAssociative memories are data structures addressed using part of the content r...
An associative memory is a structure learned from a datasetM of vectors (signals) in a way such that...
Much evidence indicates that the perirhinal cortex is involved in the familiarity discrimination asp...
In this paper we report experiments designed to find the relationship between the different paramete...
We introduce and analyze a minimal network model of semantic memory in the human brain. The model is...
International audienceWillshaw networks are a type of associative memories with a storing mechanism ...
In this paper we report experiments designed to find the relationship between the different paramete...
According to one of the folk tenets neural associative memories are robust, i.e. computation in them...
In this paper a binary associative network model with minimal number of connections is examined and ...
In some neuronal networks in the brain which are thought to operate as associative memories, a spars...
The memory capacities for auto- and hetero-associative incompletely connected memories are calculate...
Describes search of associative memory (SAM), a general theory of retrieval from long-term memory th...
International audienceAssociative memories are data structures that allow retrieval of previously st...
A theory for the storage and retrieval of item and associative information is presented. In the theo...