Evidence map›Paper›PMID 34111110›Full record

ArticlePLoS computational biology2021

The functional role of sequentially neuromodulated synaptic plasticity in behavioural learning.

Grace Wan Yu Ang, Clara S Tang, Y Audrey Hay, Sara Zannone, Ole Paulsen, Claudia Clopath

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. [Spatial navigation method based on the entorhinal-hippocampal-prefrontal information transmission circuit of rat's brain].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  2. Article
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

6 authors at 2 institutions in 1 country.

Grace Wan Yu AngDepartment of Bioengineering, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0000-0001-5550-049X
Clara S TangDepartment of Physiology, Development and Neuroscience, Physiological Laboratory, Cambridge, United Kingdom.ORCID 0000-0001-6430-5573
Y Audrey HayDepartment of Physiology, Development and Neuroscience, Physiological Laboratory, Cambridge, United Kingdom.ORCID 0000-0001-7765-5222
Sara ZannoneDepartment of Bioengineering, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0000-0002-7189-2435
Ole PaulsenDepartment of Physiology, Development and Neuroscience, Physiological Laboratory, Cambridge, United Kingdom.ORCID 0000-0002-2258-5455
Claudia ClopathDepartment of Bioengineering, Imperial College London, South Kensington Campus, London, United Kingdom.ORCID 0000-0003-4507-8648
Imperial College London · GBUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/N013956/1Biotechnology and Biological Sciences Research Council BB/N019008/1Biotechnology and Biological Sciences Research Council BB/P019560/1Wellcome TrustWellcome Trust 200790/Z/16/Z
6 · The paper itself

Abstract

To survive, animals have to quickly modify their behaviour when the reward changes. The internal representations responsible for this are updated through synaptic weight changes, mediated by certain neuromodulators conveying feedback from the environment. In previous experiments, we discovered a form of hippocampal Spike-Timing-Dependent-Plasticity (STDP) that is sequentially modulated by acetylcholine and dopamine. Acetylcholine facilitates synaptic depression, while dopamine retroactively converts the depression into potentiation. When these experimental findings were implemented as a learning rule in a computational model, our simulations showed that cholinergic-facilitated depression is important for reversal learning. In the present study, we tested the model's prediction by optogenetically inactivating cholinergic neurons in mice during a hippocampus-dependent spatial learning task with changing rewards. We found that reversal learning, but not initial place learning, was impaired, verifying our computational prediction that acetylcholine-modulated plasticity promotes the unlearning of old reward locations. Further, differences in neuromodulator concentrations in the model captured mouse-by-mouse performance variability in the optogenetic experiments. Our line of work sheds light on how neuromodulators enable the learning of new contingencies.

Indexed as

Behavior, AnimalAnimalsCholinergic NeuronsLearningLong-Term PotentiationMiceModels, NeurologicalNeuronal PlasticityNeurotransmitter AgentsRewardSynaptic TransmissionNeurotransmitter Agents

Identifiers

PMID34111110
PMCPMC8192019
OpenAlexW3166741827

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.