Evidence map›Paper›PMID 29930322›Full record

ArticleScientific reports2018

Acetylcholine-modulated plasticity in reward-driven navigation: a computational study.

Sara Zannone, Zuzanna Brzosko, Ole Paulsen, Claudia Clopath

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  6. Review
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  10. Brain inspired path planning algorithms for drones.Frontiers in neurorobotics · 2023
    Article
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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

4 authors.

Sara ZannoneImperial College London, Department of Bioengineering, South Kensington Campus, London, United Kingdom.ORCID 0000-0002-7189-2435
Zuzanna BrzoskoUniversity of Cambridge, Department of Physiology, Development and Neuroscience, Physiological Laboratory, Cambridge, United Kingdom.
Ole PaulsenUniversity of Cambridge, Department of Physiology, Development and Neuroscience, Physiological Laboratory, Cambridge, United Kingdom.
Claudia ClopathImperial College London, Department of Bioengineering, South Kensington Campus, London, United Kingdom. c.clopath@imperial.ac.uk.ORCID 0000-0003-4507-8648

Funding

Biotechnology and Biological Sciences Research Council BB/N013956/1Biotechnology and Biological Sciences Research Council BB/N019008/1Medical Research Council G0400571Wellcome TrustWellcome Trust 200790/Z/16/Z
6 · The paper itself

Abstract

Neuromodulation plays a fundamental role in the acquisition of new behaviours. In previous experimental work, we showed that acetylcholine biases hippocampal synaptic plasticity towards depression, and the subsequent application of dopamine can retroactively convert depression into potentiation. We also demonstrated that incorporating this sequentially neuromodulated Spike-Timing-Dependent Plasticity (STDP) rule in a network model of navigation yields effective learning of changing reward locations. Here, we employ computational modelling to further characterize the effects of cholinergic depression on behaviour. We find that acetylcholine, by allowing learning from negative outcomes, enhances exploration over the action space. We show that this results in a variety of effects, depending on the structure of the model, the environment and the task. Interestingly, sequentially neuromodulated STDP also yields flexible learning, surpassing the performance of other reward-modulated plasticity rules.

Indexed as

Models, NeurologicalNeuronal PlasticityRewardSpatial NavigationAcetylcholineAnimalsCholinergic NeuronsExploratory BehaviorAcetylcholine

Identifiers

PMID29930322
PMCPMC6013476

What OpenQuestion holds

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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.