Reversible Inactivation of Brain Circuits in Learning and Memory Research

2007 ◽  
pp. 157-173 ◽  
Author(s):  
Milagros Gallo
Keyword(s):  
Learning And Memory ◽  
Reversible Inactivation ◽  
Memory Research ◽  
Brain Circuits

scholarly journals GABA and Muscimol as Reversible Inactivation Tools in Learning and Memory

2000 ◽  
Vol 7 (1-2) ◽  
pp. 19-29 ◽  
Author(s):  
M. Majchrzak ◽  
G. Di Scala
Keyword(s):  
Learning And Memory ◽  
Critical Analysis ◽  
Gaba Receptor ◽  
Receptor Agonist ◽  
Brain Areas ◽  
Reversible Inactivation ◽  
Brain Behavior ◽  
Gaba Receptor Agonist

Reversible inactivation of brain areas is a useful method for inferring brain-behavior relationships. Infusion of GABA or of the GABA receptor agonist muscimol is considered one interesting reversible inactivation method because it may not affect fibers of passage and may therefore be compared to axon-sparing types of lesions. This article reviews the data obtained with this method in learning and memory experiments. A critical analysis of data, collected in collaboration with Simon Brailowsky, with chronic GABA infusion is presented, together with an illustration of data obtained with muscimol-induced inactivation.

scholarly journals Design and Development of a High-Throughput System for Learning and Memory Research on Zebrafish

2018 ◽  
Vol 08 (06) ◽  
pp. 351-368
Author(s):  
Hamed Hanafi Alamdari ◽  
Nancy Kilcup ◽  
Zachary Ford ◽  
Florentin Wilfart ◽  
David C. Roach ◽  
...  
Keyword(s):  
Learning And Memory ◽  
High Throughput ◽  
Design And Development ◽  
Memory Research

scholarly journals Interactions between the hippocampus, prefrontal cortex, and amygdala support complex learning and memory

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1292 ◽  
Author(s):  
Ersin Yavas ◽  
Sarah Gonzalez ◽  
Michael S. Fanselow
Keyword(s):  
Prefrontal Cortex ◽  
Systems Theory ◽  
Learning And Memory ◽  
Adaptive Behavior ◽  
Memory Systems ◽  
Task Demands ◽  
Specific Task ◽  
Anatomical Structures ◽  
Memory Research ◽  
Multiple Memory Systems

One of the guiding principles of memory research in the preceding decades is multiple memory systems theory, which links specific task demands to specific anatomical structures and circuits that are thought to act orthogonally with respect to each other. We argue that this view does not capture the nature of learning and memory when any degree of complexity is introduced. In most situations, memory requires interactions between these circuits and they can act in a facilitative manner to generate adaptive behavior.

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