Evidence map›Paper›PMID 35615283›Full record

ArticleFrontiers in neuroscience2022

PyRAT: An Open-Source Python Library for Animal Behavior Analysis.

Tulio Fernandes De Almeida, Bruno Guedes Spinelli, Ramón Hypolito Lima, Maria Carolina Gonzalez, Abner Cardoso Rodrigues

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Using deep learning to study emotional behavior in rodent models.Frontiers in behavioral neuroscience · 2022
    Review
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

5 authors.

Tulio Fernandes De AlmeidaPost Graduation Program in Neuroengineering, Santos Dumont Institute, Edmond and Lily Safra International Institute of Neuroscience, Macaíba, Brazil.
Bruno Guedes SpinelliPost Graduation Program in Neuroengineering, Santos Dumont Institute, Edmond and Lily Safra International Institute of Neuroscience, Macaíba, Brazil.
Ramón Hypolito LimaPost Graduation Program in Neuroengineering, Santos Dumont Institute, Edmond and Lily Safra International Institute of Neuroscience, Macaíba, Brazil.
Maria Carolina GonzalezPost Graduation Program in Neuroengineering, Santos Dumont Institute, Edmond and Lily Safra International Institute of Neuroscience, Macaíba, Brazil.
Abner Cardoso RodriguesPost Graduation Program in Neuroengineering, Santos Dumont Institute, Edmond and Lily Safra International Institute of Neuroscience, Macaíba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, speed and area occupancy. To classify and cluster behaviors, we used two unsupervised algorithms: hierarchical agglomerative clustering and t-distributed stochastic neighbor embedding (t-SNE). Finally, we built algorithms that associate the detected behaviors with synchronized neural data and facilitate the visualization of this association in the pixel space. PyRAT is fully available on GitHub: https://github.com/pyratlib/pyrat.

Indexed as

animal trackingbehavioral analysisdeep learningelectrophysiologyneuroscience methodunsupervised learning

Identifiers

PMID35615283
PMCPMC9125180

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.