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Journal ArticleDOI

Awareness is necessary for differential trace and delay eyeblink conditioning in humans

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TLDR
Results from two experiments suggest that, although there may be multiple brain regions involved in learning, these regions are organized as a coordinated system rather than as separate, independent systems.
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This article is published in Biological Psychology.The article was published on 2011-07-01. It has received 41 citations till now. The article focuses on the topics: Eyeblink conditioning & Second-order conditioning.

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The propositional nature of human associative learning.

TL;DR: It is argued that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research.
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Rapid and highly resolving associative affective learning: convergent electro- and magnetoencephalographic evidence from vision and audition.

TL;DR: It is concluded that affective processing rapidly recruits highly elaborate and widely distributed networks with substantial capacity for fast learning and excellent resolving power.
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Dual Functions of Perirhinal Cortex in Fear Conditioning

TL;DR: The evidence suggests that PRC can serve at least two types of mnemonic functions in Pavlovian fear conditioning, which are consistent with inferences based on non‐aversive forms of learning.
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I Think, Therefore Eyeblink The Importance of Contingency Awareness in Conditioning

TL;DR: Findings cast doubt on dual-system theories, which propose an automatic associative system independent of cognition, and provide strong evidence that cognitive processes associated with awareness play a causal role in learning.
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Flavor binding: Its nature and cause.

TL;DR: Preattentive processing provides a well-supported account of taste-to-tongue binding, and attentional processes may also be important, especially given their role in binding the major senses.
References
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Journal ArticleDOI

Declarative and nondeclarative memory: Multiple brain systems supporting learning and memory

TL;DR: A brain-systems framework for understanding memory phenomena is developed in light of lesion studies involving rats, monkeys, and humans, as well as recent studies with normal humans using the divided visual field technique, event-related potentials, and positron emission tomography (PET).
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MANOVA method for analyzing repeated measures designs: an extensive primer

TL;DR: Presentation de la methode d'analyse de variance multivariee (MANOVA) appliquee a l'Analyse de mesures repetees, destinee a des chercheurs deja familiarises avec les methodes de l'analysis de variance ordinaire (ANOVA).
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Characteristics of dissociable human learning systems

TL;DR: The distinction between instance and rule learning is a sound and meaningful way of taxonomizing human learning and various computational models of these two forms of learning are discussed.
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Classical Conditioning and Brain Systems: The Role of Awareness

TL;DR: In this paper, the eye-blink response is conditioned in animals with hippocampal lesion and normal volunteers were tested on two versions of delay conditioning and two variants of trace conditioning and then assessed for the extent to which they became aware of the temporal relationship between the conditioned stimulus and the unconditioned stimulus.
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Memory systems

TL;DR: Cache memories are a general solution to improving the performance of a memory system by placing smaller faster memories in front of larger, slower, and cheaper memories to approach that of a perfect memory system—at a reasonable cost.
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