Evidence map›Paper›PMID 31362057›Full record

ArticleNeurobiology of learning and memory2019

The contributions and mechanisms of changes in excitability during simple forms of learning in Aplysia.

Robert D Hawkins

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of learning and memory, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Robert D HawkinsDepartment of Neuroscience, Columbia University, New York, NY 10032, United States; Division of Systems Neuroscience, New York State Psychiatric Institute, New York, NY 10032, United States. Electronic address: rdh1@columbia.edu.
New York Psychoanalytic Society and Institute · US

Funding

Neurotrophins, spontaneous release, and synaptic growth cascadesR01NS083690 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAWKINS, ROBERT D · 2013 to 2017
$1.6M
NINDS NIH HHS R01 NS083690
6 · The paper itself

Abstract

Learning and memory have long been thought to involve changes in synaptic connections between neurons. However, in many cases learning-related plasticity also involves changes in the excitability of neurons. These findings have raised questions about the relative importance of these two types of mechanisms to behavioral learning, and also about the extent to which they involve shared or unique molecular mechanisms. We have taken a reductionist approach to these questions by addressing them in a simple model organism, Aplysia californica. Studies of a semi-intact Aplysia siphon withdrawal preparation suggest that classical conditioning involves an increase in the evoked firing of sensory neurons (SNs) as well as facilitation of the monosynaptic PSP to motor neurons (MNs). Furthermore, these two mechanisms may act cooperatively at the cellular level: increased SN firing produces more PSPs, each of which is facilitated, leading to a multiplicative increase in depolarization of the MN and siphon withdrawal. The changes in SN firing and the monosynaptic PSP also share several mechanisms at the molecular level, suggesting that they may both be due in part to a decrease in K

Indexed as

AnimalsAplysiaAssociation LearningConditioning, ClassicalConditioning, OperantMotor NeuronsSensory Receptor CellsSignal TransductionSynaptic TransmissionAplysiaClassical conditioningExcitabilityLearningOperant conditioning

Identifiers

PMID31362057
PMCPMC6736518
OpenAlexW2966466687

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.