Associative Memory Memory that can be referenced by content, as opposed to location. Hopfield networks will act as associative memories when trained with the Hebbian learning rule.
Fuzzy Associative Memory
A software structure that collects fuzzy sets, works with them, and produces an output that assists in decision making.
Fuzzy Logic ...
HOPFIELD, Autoassociative Memory, Associative Recall of Images
BAM, Heteroassociative Memory, Association of Names and Phone Numbers
BOLTZMAN, Optimization, Traveling Salesman Problem ...
Hopfield network as associative memory
A primary application of the Hopfield network is an associative memory.
Among the points of interest in Poincare's work are his views on associative memory.
Associative memory: Also called `content-addressable' memory. This type of memory is not stored on any individual neuron but is a property of the whole network. It is by inputting to the network part of the memory.
Its roots can be backtraced to the original HAM (Human Associative Memory) model of memory, described by John R. Anderson and Gordon Bower in 1973[34]. The HAM model was later expanded into the first version of the ACT theory [35].
From personal experience, I can also comment that the cure for what they call "spontaneous" retrieval (as described, it sounds more like associative memory) can also be provided internally, even from "time-sense".
MATCHING: When nothing more specific is found, we can attempt to use some "basic" associative memory mechanism. This will succeed by itself only in relatively simple situations, but should play a supporting role in the other tactics.
Classification/Pattern recognition:
The task of pattern recognition is to assign an input pattern (like handwritten symbol) to one of many classes. This category includes algorithmic implementations such as associative memory.
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It used a list-processing technique in a new computer language, IPL (Information Processing Language) that they developed to write Logical Theorist. IPL provided pointers between related pieces of information to mimic associative memory; ...
bidirectional connections with symmetric weights , all of the units are both input and output units; the activation function g is the sign function; and the activation levels can only be ± 1. A Hopfield network functions as an associative memory ...
traveling salesman problem.
Classification: grouping patterns into classes: i.e. handwritten characters into letters.
Associative memory: recalling a memory based on a partial match.
Regression: function mapping ...
Some early milestones include work on problem solving, including basic work in learning, knowledge representation, and inference as well as demonstration programs in language understanding, translation, theorem proving, associative memory, ...
 See also: Neural network, Percept, Classification, Artificial intelligence, Perceptron
  
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