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This type of memory deals specifically with the relationship between these different objects or concepts. A normal associative memory task involves testing participants on their recall of pairs of unrelated items, such as face-name pairs. [2] Associative memory is a declarative memory structure and episodically based. [3]
Holographic Associative Memory (HAM) is an analog, correlation-based, associative, stimulus-response system. Information is mapped onto the phase orientation of complex numbers. The memory is effective for associative memory tasks, generalization and pattern recognition with changeable attention. Dynamic search localization is central to ...
The memory or storage capacity of BAM may be given as (,), where "" is the number of units in the X layer and "" is the number of units in the Y layer. [3]The internal matrix has n x p independent degrees of freedom, where n is the dimension of the first vector (6 in this example) and p is the dimension of the second vector (4).
A Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory. The Hopfield network, named for John Hopfield , consists of a single layer of neurons, where each neuron is connected to every other neuron except itself.
The adjustable weights for all joints may reside in the same physical memory. [1] The cerebellar model arithmetic computer (CMAC) is a type of neural network based on a model of the mammalian cerebellum. It is also known as the cerebellar model articulation controller. It is a type of associative memory. [2]
Associative memory (psychology), the ability to learn and remember the relationship between unrelated items; Associative storage, or content-addressable memory, a type of computer memory used in certain very high speed searching applications; Autoassociative memory, all computer memories that enable one to retrieve a piece of data from only a ...
Fig.4 The connectivity diagram of the layered Hierarchical Associative Memory network. [8] Each layer can have different number of neurons, different activation function, and different time scales. The feedforward weights and feedback weights are equal.
Introduced by Bart Kosko, [64] a bidirectional associative memory (BAM) network is a variant of a Hopfield network that stores associative data as a vector. The bidirectionality comes from passing information through a matrix and its transpose. Typically, bipolar encoding is preferred to binary encoding of the associative pairs.