Associative sequence learning (ASL) is a neuroscientific theory that attempts to explain how mirror neurons are able to match observed and performed actions...

learning are debated. Other forms of implicit sequence learning include motor sequence learning, temporal sequence learning, and associative sequence...

mirror neurons are trained through Hebbian or Associative learning (see Associative Sequence Learning). However, if premotor neurons need to be trained...

in the plane). Associative reinforcement learning tasks combine facets of stochastic learning automata tasks and supervised learning pattern classification...

also associative, but multiplication of octonions is non-associative. The greatest common divisor and least common multiple functions act associatively. gcd...

Mamba is a deep learning architecture focused on sequence modeling. It was developed by researchers from Carnegie Mellon University and Princeton University...

modern psychology in such areas as memory, learning, and the study of neural pathways. Associative learning is when a subject creates a relationship between...

that associative learning in Florida scrub-jays correlated with reversal learning, personality, and baseline hormone levels. To measure associative learning...

close connection between machine learning and compression. A system that predicts the posterior probabilities of a sequence given its entire history can be...

Bart Kosko, a bidirectional associative memory (BAM) network is a variant of a Hopfield network that stores associative data as a vector. The bidirectionality...

and machine learning theory and practice. One origin of associative memory is human cognitive psychology, specifically the associative memory. Frank...

machine learning, attention is a method that determines the importance of each component in a sequence relative to the other components in that sequence. In...

intermodal mapping hypothesis, adding that repeated experience and associative sequence learning are crucial components to this hypothesis. However, other studies...

recognition, and text summarization. Seq2seq uses sequence transformation: it turns one sequence into another sequence. One naturally wonders if the problem of...

and his 1973 thesis with Gordon H. Bower provided a theory of human associative memory. He included more aspects of his research on long-term memory...

PMID 6953413. Nakano, Kaoru (1971). "Learning Process in a Model of Associative Memory". Pattern Recognition and Machine Learning. pp. 172–186. doi:10.1007/978-1-4615-7566-5_15...

V (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409...

approach models reinforcement learning as a sequence modelling problem. Similar to Behavior Cloning, it trains a sequence model, such as a Transformer...

Associative interference is a cognitive theory established on the concept of associative learning, which suggests that the brain links related elements...

In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves...

development. Appropriation (sociology) Articulation (sociology) Associative Sequence Learning Cognitive imitation Copycat crime Copycat suicide Identification...

weights of an Ising model by Hebbian learning rule as a model of associative memory, adding in the component of learning. This was popularized as the Hopfield...

For example, her associative sequence learning model of imitation and mirror neurons suggests they are based on associative learning. However, she is...

common in neural networks. Holographic Associative Memory (HAM) is an analog, correlation-based, associative, stimulus-response system. Information is...

keystrokes." An associative trail as conceived by Bush would be a way to create a new linear sequence of microfilm frames across any arbitrary sequence of microfilm...

introduced in the aural/oral and verbal association level of the skill learning sequence. At the composite synthesis level, students give context to familiar...

V (2014). "Sequence to Sequence Learning with Neural Networks". Advances in Neural Information Processing Systems. 27. Curran Associates, Inc. arXiv:1409...

Academy of Sciences (Washington, DC, USA): Peirce, Benjamin (1870) "Linear associative algebra" From pages 16–17: "When an expression which is raised to the...

brevicollis females exhibited a large variation in associative learning ability. It is likely that associative learning abilities are specific to one beetle's personality...

A regulatory sequence is a segment of a nucleic acid molecule which is capable of increasing or decreasing the expression of specific genes within an organism...