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Associative learning is when a subject creates a relationship between stimuli (e.g. auditory or visual) or behavior and the original stimulus. The higher the concreteness of stimulus items, the more likely are they to evoke sensory images that can function as mediators of associative learning and memory.
Paired association learning can be defined as a system of learning in which items (such as words, letters, numbers, symbols etc.) are matched so that presentation of one member of the pair will cue the recall of the other member. [3] It is this learning which constitutes the basics in a paired-associate task. These tasks can be divided into the ...
Two important processes for learning associations, and thus forming associative memories, are operant conditioning and classical conditioning.Operant conditioning refers to a type of learning where behavior is controlled by environmental factors that influence the behavior of the subject in subsequent instances of the stimuli.
The reward system (the mesocorticolimbic circuit) is a group of neural structures responsible for incentive salience (i.e., "wanting"; desire or craving for a reward and motivation), associative learning (primarily positive reinforcement and classical conditioning), and positively-valenced emotions, particularly ones involving pleasure as a core component (e.g., joy, euphoria and ecstasy).
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However, whilst classical conditioning and associative learning both explore how the brain utilizes this cognitive association to benefit us, studies have also shown how the brain can mistakenly associate related, but incorrect elements together, and this is known as associative interference. [1]
Associationism is the idea that mental processes operate by the association of one mental state with its successor states. [1] It holds that all mental processes are made up of discrete psychological elements and their combinations, which are believed to be made up of sensations or simple feelings. [2]
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.