Results 201 to 210 of about 50,340 (248)

Modulation of cortical representations of sensory and contextual information underlies aversive associative learning. [PDF]

Cell Rep
Dai J, Sun QQ.
europepmc   +1 more source

Long-Horizon associative learning as a unifying framework for statistical learning across scales

Benjamin L, Fló A, Al Roumi F, Dehaene-Lambertz G.   +3 more
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Top-down inputs are controlled by somatostatin-expressing interneurons during associative learning

Studer F, Zeppillo T, Barkat TR.
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Learned Associability and Associative Change in Human Causal Learning

The Quarterly Journal of Experimental Psychology Section B, 2003
The Mackintosh (1975) model of associative learning specifies that processing of both the cues presented on a trial and the outcome of that trial will interact to determine the amount of associative change undergone by a given cue. Experiments looking at the distribution of associative change among the elements of a reinforced compound in animal ...
M E, Le Pelley, I P L, McLaren
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Associative Learning

1997
This chapter reviews evidence demonstrating the essential role of the cerebellum and its associated circuitry in the learning and memory of classical conditioning of discrete behavioral responses (e.g., eyeblink, limb flexion, head turn). It now seems conclusive that the memory traces for this basic category of associative learning are formed and ...
R F, Thompson, S, Bao, L, Chen, B D, Cipriano, J S, Grethe, J J, Kim, J K, Thompson, J A, Tracy, M S, Weninger, D J, Krupa   +9 more
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Associative Learning in Early Vision

Neural Networks, 2004
Sensory discriminations often improve with practice (perceptual learning). Recent results show that practice does not necessarily lead to the best possible performance on the task. It was shown that learning a task (contrast discrimination) that has already reached saturation could be enabled by a contextual change in the stimulus (the addition of ...
Misha Tsodyks, Yael Adini, Dov Sagi
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The future of associative learning

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.
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Bayesian associative learning

Trends in Cognitive Sciences, 2006
The Bayesian approach to belief updating is par excellence a theory of learning--a theory of how beliefs should be revised in the light of new evidence. Yet despite its considerable utility as a framework for understanding cognition, it has not been prominent in theorizing about elementary learning processes in animals and humans.
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Associative Learning and Active Inference

Neural Computation
Abstract Associative learning is a behavioral phenomenon in which individuals develop connections between stimuli or events based on their co-occurrence. Initially studied by Pavlov in his conditioning experiments, the fundamental principles of learning have been expanded on through the discovery of a wide range of learning phenomena ...
Petr Anokhin, Artyom Y. Sorokin, Mikhail Burtsev 0001, Karl J. Friston   +3 more
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Associative learning

2002
Abstract The notion of ‘association’ is central to both the philosophical and the experimental study of the mind. In philosophy it can be traced back to Aristotle, who proposed that similarity, contrast, and contiguity of images sub serve recollection (On memory; Sorabji 1972).
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