Evidence map›Paper›PMID 25071492›Full record

ReviewFrontiers in behavioral neuroscience2014

Properties and mechanisms of olfactory learning and memory.

Michelle T Tong, Shane T Peace, Thomas A Cleland

Abstract readReview
In one paragraph

Review in Frontiers in behavioral neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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  9. Article
  10. Review
  11. Article
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  14. Article
  15. Article
  16. The Neurobiology of Fear Generalization.Frontiers in behavioral neuroscience · 2018
    Review
  17. History-Dependent Odor Processing in the Mouse Olfactory Bulb.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  18. Article
  19. Simple and Computer-assisted Olfactory Testing for Mice.Journal of visualized experiments : JoVE · 2015
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Michelle T TongComputational Physiology Lab, Department of Psychology, Cornell University Ithaca, NY, USA.
Shane T PeaceComputational Physiology Lab, Department of Neurobiology and Behavior, Cornell University Ithaca, NY, USA.
Thomas A ClelandComputational Physiology Lab, Department of Psychology, Cornell University Ithaca, NY, USA.

Funding

CRCNS: Higher-order feature detection in olfactory bulbR01DC012249 · NIDCD · CORNELL UNIVERSITY · PI CLELAND, THOMAS A · 2011 to 2013
$704k
6 · The paper itself

Abstract

Memories are dynamic physical phenomena with psychometric forms as well as characteristic timescales. Most of our understanding of the cellular mechanisms underlying the neurophysiology of memory, however, derives from one-trial learning paradigms that, while powerful, do not fully embody the gradual, representational, and statistical aspects of cumulative learning. The early olfactory system-particularly olfactory bulb-comprises a reasonably well-understood and experimentally accessible neuronal network with intrinsic plasticity that underlies both one-trial (adult aversive, neonatal) and cumulative (adult appetitive) odor learning. These olfactory circuits employ many of the same molecular and structural mechanisms of memory as, for example, hippocampal circuits following inhibitory avoidance conditioning, but the temporal sequences of post-conditioning molecular events are likely to differ owing to the need to incorporate new information from ongoing learning events into the evolving memory trace. Moreover, the shapes of acquired odor representations, and their gradual transformation over the course of cumulative learning, also can be directly measured, adding an additional representational dimension to the traditional metrics of memory strength and persistence. In this review, we describe some established molecular and structural mechanisms of memory with a focus on the timecourses of post-conditioning molecular processes. We describe the properties of odor learning intrinsic to the olfactory bulb and review the utility of the olfactory system of adult rodents as a memory system in which to study the cellular mechanisms of cumulative learning.

Indexed as

behaviorgeneralizationolfactory bulbrepresentational learningsynaptic plasticity

Identifiers

PMID25071492
PMCPMC4083347

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.