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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]
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.
In the original Hopfield model of associative memory, [6] the variables were binary, and the dynamics were described by a one-at-a-time update of the state of the neurons. An energy function quadratic in the V i {\displaystyle V_{i}} was defined, and the dynamics consisted of changing the activity of each single neuron i {\displaystyle i} only ...
Content-addressable memory (CAM) is a special type of computer memory used in certain very-high-speed searching applications. It is also known as associative memory or associative storage and compares input search data against a table of stored data, and returns the address of matching data.
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 ...
Standard memories (data storage) are organized by beeing indexed by positional memory adresses wich are also used for data retrieval. Autoassociative memories are organized in such a way that data is stored in a graph like system with connection wheights based on the number of inherent associative connections between two memories wich makes it possible to query it using a memory already ...
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]