Evidence map›Paper›PMID 36035443›Full record

ArticleFrontiers in integrative neuroscience2022

Reproducing a decision-making network in a virtual visual discrimination task.

Alessandra Trapani, Francesco Jamal Sheiban, Elisa Bertone, Serena Chiosso, Luca Colombo, Matteo D'Andrea, Francesco De Santis, Francesca Fati, Veronica Fossati, Victor Gonzalez and 1 more

Abstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Alessandra TrapaniNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Francesco Jamal SheibanNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Elisa BertoneNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Serena ChiossoNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Luca ColomboNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Matteo D'AndreaNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Francesco De SantisNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Francesca FatiNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Veronica FossatiNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Victor GonzalezNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Alessandra PedrocchiNearLab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We reproduced a decision-making network model using the neural simulator software neural simulation tool (NEST), and we embedded the spiking neural network in a virtual robotic agent performing a simulated behavioral task. The present work builds upon the concept of replicability in neuroscience, preserving most of the computational properties in the initial model although employing a different software tool. The proposed implementation successfully obtains equivalent results from the original study, reproducing the salient features of the neural processes underlying a binary decision. Furthermore, the resulting network is able to control a robot performing an

Indexed as

decision-makingNESTnetwork modelneurorobotreproducibilityworking memory

Identifiers

PMID36035443
PMCPMC9399926

What OpenQuestion holds

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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.