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Associative sequence learning (ASL) is a neuroscientific theory that attempts to explain how mirror neurons are able to match observed and performed actions, and how individuals (adults, children, animals) are able to imitate body movements. The theory was proposed by Cecilia Heyes in 2000.
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.
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.
Relay interneurons have long axons and connect circuits of neurons in one region of the brain with those in other regions. [5] However, interneurons are generally considered to operate mainly within local brain areas. [6] The interaction between interneurons allows the brain to perform complex functions such as learning and decision-making.
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).
In the neocortex, projection neurons are excitatory neurons that send axons to distant brain targets. [2] Considering the six histologically distinct layers of the neocortex, associative projection neurons extend axons within one cortical hemisphere; commissural projection neurons extend axons across the midline to the contralateral hemisphere ...
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 was defined, and the dynamics consisted of changing the activity of each single neuron only if doing so would lower the total energy of ...
Associative memory becomes poorer in humans as they age. Additionally, it has been shown to be non-correlational with a single item (non-associative) memory function. [10] Non-invasive brain stimulation techniques have emerged as promising tools for the improvement of associative memory.