Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Associative Learning | 6 |
| Brain | 6 |
| Neurology | 6 |
| Memory | 5 |
| Stimuli | 3 |
| Models | 2 |
| Sensory Experience | 2 |
| Animals | 1 |
| Association (Psychology) | 1 |
| Biochemistry | 1 |
| Biological Influences | 1 |
| More ▼ | |
Author
| Akalal, David-Benjamin G. | 1 |
| Barot, Sabiha K. | 1 |
| Bernstein, Ilene L. | 1 |
| Chung, Ain | 1 |
| Davis, Ronald L. | 1 |
| Flores, Veronica L. | 1 |
| Ito, Kei | 1 |
| Katz, Donald B. | 1 |
| Kim, Jeansok J. | 1 |
| Levitan, David | 1 |
| Malmberg, Kenneth J. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 3 |
| Reports - Descriptive | 2 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
The Role of the Gustatory Cortex in Incidental Experience-Evoked Enhancement of Later Taste Learning
Flores, Veronica L.; Parmet, Tamar; Mukherjee, Narendra; Nelson, Sacha; Katz, Donald B.; Levitan, David – Learning & Memory, 2018
The strength of learned associations between pairs of stimuli is affected by multiple factors, the most extensively studied of which is prior experience with the stimuli themselves. In contrast, little data is available regarding how experience with "incidental" stimuli (independent of any conditioning situation) impacts later learning.…
Descriptors: Sensory Experience, Memory, Incidental Learning, Neurology
Chung, Ain; Barot, Sabiha K.; Kim, Jeansok J.; Bernstein, Ilene L. – Learning & Memory, 2011
Modern views on learning and memory accept the notion of biological constraints--that the formation of association is not uniform across all stimuli. Yet cellular evidence of the encoding of selective associations is lacking. Here, conditioned stimuli (CSs) and unconditioned stimuli (USs) commonly employed in two basic associative learning…
Descriptors: Associative Learning, Stimuli, Conditioning, Biochemistry
Rodriguez, Paul F. – Learning & Memory, 2009
Memory systems are known to be influenced by feedback and error processing, but it is not well known what aspects of outcome contingencies are related to different memory systems. Here we use the Rescorla-Wagner model to estimate prediction errors in an fMRI study of stimulus-outcome association learning. The conditional probabilities of outcomes…
Descriptors: Feedback (Response), Prediction, Memory, Probability
Malmberg, Kenneth J. – Cognitive Psychology, 2008
The development of formal models has aided theoretical progress in recognition memory research. Here, I review the findings that are critical for testing them, including behavioral and brain imaging results of single-item recognition, plurality discrimination, and associative recognition experiments under a variety of testing conditions. I also…
Descriptors: Testing, Neurology, Recognition (Psychology), Models
Rolls, Edmund T. – Learning & Memory, 2007
A quantitative computational theory of the operation of the CA3 system as an attractor or autoassociation network is described. Based on the proposal that CA3-CA3 autoassociative networks are important for episodic or event memory in which space is a component (place in rodents and spatial view in primates), it has been shown behaviorally that the…
Descriptors: Memory, Brain, Neurological Organization, Neurology
Zong, Lin; Tanaka, Nobuaki K.; Ito, Kei; Davis, Ronald L.; Akalal, David-Benjamin G.; Wilson, Curtis F. – Learning & Memory, 2006
Olfactory learning assays in Drosophila have revealed that distinct brain structures known as mushroom bodies (MBs) are critical for the associative learning and memory of olfactory stimuli. However, the precise roles of the different neurons comprising the MBs are still under debate. The confusion surrounding the roles of the different neurons…
Descriptors: Memory, Associative Learning, Entomology, Sensory Experience

Peer reviewed
Direct link
