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  2. 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.

  3. Cache placement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_placement_policies

    A block of memory cannot necessarily be placed at an arbitrary location in the cache; it may be restricted to a particular cache line or a set of cache lines [1] by the cache's placement policy. [2] [3] There are three different policies available for placement of a memory block in the cache: direct-mapped, fully associative, and set-associative.

  4. 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.

  5. 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 ...

  6. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    In computer science, an associative array, map, symbol table, or dictionary is an abstract data type that stores a collection of (key, value) pairs, such that each possible key appears at most once in the collection. In mathematical terms, an associative array is a function with finite domain. [1] It supports 'lookup', 'remove', and 'insert ...

  7. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    [7] [8] In 1933, Lorente de Nó discovered "recurrent, reciprocal connections" by Golgi's method, and proposed that excitatory loops explain certain aspects of the vestibulo-ocular reflex. [ 9 ] [ 10 ] During 1940s, multiple people proposed the existence of feedback in the brain, which was a contrast to the previous understanding of the neural ...

  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. Cache replacement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_replacement_policies

    The algorithm is suitable for network cache applications such as information-centric networking (ICN), content delivery networks (CDNs) and distributed networks in general. TLRU introduces a term: TTU (time to use), a timestamp of content (or a page) which stipulates the usability time for the content based on its locality and the content ...