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  2. Cerebellar model articulation controller - Wikipedia

    en.wikipedia.org/wiki/Cerebellar_Model...

    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]

  3. Hopfield network - Wikipedia

    en.wikipedia.org/wiki/Hopfield_network

    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.

  4. Modern Hopfield network - Wikipedia

    en.wikipedia.org/wiki/Modern_Hopfield_Network

    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 ...

  5. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    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.

  6. Bidirectional associative memory - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_associative...

    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).

  7. Content-addressable memory - Wikipedia

    en.wikipedia.org/wiki/Content-addressable_memory

    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.

  8. Autoassociative memory - Wikipedia

    en.wikipedia.org/wiki/Autoassociative_memory

    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 ...

  9. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    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 ...