Evidence map›Paper›PMID 35498270›Full record

ArticleHardwareX2020

Low-cost open hardware system for behavioural experiments simultaneously with electrophysiological recordings.

Leandro A A Aguiar, Nivaldo A P de Vasconcelos, Gabriela Chiuffa Tunes, Antonio J Fontenele, Romildo de Albuquerque Nogueira, Marcelo Bussotti Reyes, Pedro V Carelli

Abstract read
In one paragraph

Article in HardwareX, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Leandro A A AguiarDepartamento de Morfologia e Fisiologia Animal, Universidade Federal Rural de Pernambuco, Recife, PE 52171-900, Brazil.
Nivaldo A P de VasconcelosPhysics Department, Federal University of Pernambuco, Recife, PE 50670-901, Brazil.
Gabriela Chiuffa TunesCenter for Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, SP 09210-580, Brazil.
Antonio J FontenelePhysics Department, Federal University of Pernambuco, Recife, PE 50670-901, Brazil.
Romildo de Albuquerque NogueiraDepartamento de Morfologia e Fisiologia Animal, Universidade Federal Rural de Pernambuco, Recife, PE 52171-900, Brazil.
Marcelo Bussotti ReyesCenter for Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André, SP 09210-580, Brazil.
Pedro V CarelliPhysics Department, Federal University of Pernambuco, Recife, PE 50670-901, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major frontier in neuroscience is to find neural correlates of perception, learning, decision making, and a variety of other types of behavior. In the last decades, modern devices allow simultaneous recordings of different operant responses and the electrical activity of large neuronal populations. However, the commercially available instruments for studying operant conditioning are expensive, and the design of low-cost chambers has emerged as an appealing alternative to resource-limited laboratories engaged in animal behavior. In this article, we provide a full description of a platform that records the operant behavior and synchronizes it with the electrophysiological activity. The programming of this platform is open source, flexible, and adaptable to a wide range of operant conditioning tasks. We also show results of operant conditioning experiments with freely moving rats with simultaneous electrophysiological recordings.

Indexed as

Local field potentialOpen behaviorOperant conditioningReaction timeSpikes

Identifiers

PMID35498270
PMCPMC9041193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.