Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model (doi:10.48349/ASU/W2E1YE)
(SLEAP: Low-cost neuroscience approaches)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model

Identification Number:

doi:10.48349/ASU/W2E1YE

Distributor:

ASU Library Research Data Repository

Date of Distribution:

2024-06-13

Version:

1

Bibliographic Citation:

Verpeut, Jessica; Truong, Vincent; Moore, John E.; Ricoy, Ulises M., 2024, "Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model", https://doi.org/10.48349/ASU/W2E1YE, ASU Library Research Data Repository, V1

Study Description

Citation

Title:

Low-Cost Approaches in Neuroscience to Teach Machine Learning Using a Cockroach Model

Alternative Title:

SLEAP: Low-cost neuroscience approaches

Identification Number:

doi:10.48349/ASU/W2E1YE

Authoring Entity:

Verpeut, Jessica (Arizona State University)

Truong, Vincent (Arizona State University)

Moore, John E. (University of Arizona)

Ricoy, Ulises M. (University of Arizona)

Other identifications and acknowledgements:

The O'Dell Lab at University of Texas El Paso

Other identifications and acknowledgements:

O'Dell, Laura

Other identifications and acknowledgements:

Esparza, David

Producer:

SOCIAL Neurobiology Lab

Software used in Production:

Python

Distributor:

ASU Library Research Data Repository

Access Authority:

Verpeut, Jessica

Access Authority:

Truong, Vincent

Depositor:

Verpeut, Jessica

Date of Deposit:

2024-05-04

Holdings Information:

https://doi.org/10.48349/ASU/W2E1YE

Study Scope

Keywords:

Medicine, Health and Life Sciences, Machine learning, Neurosciences, Teaching

Abstract:

Dataset of manuscript, SLEAPing with cockroaches: low-cost approaches to teaching machine learning in neuroscience.

Date of Collection:

2022-07-01-2022-07-20

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

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SLEAP program used to create prediction files <a href="https://sleap.ai/">https://sleap.ai/</a> <br> T.D. Pereira, N. Tabris, A. Matsliah, D. M. Turner, J. Li, S. Ravindranath, E. S. Papadoyannis, E. Normand, D. S. Deutsch, Z. Y. Wang, G. C. McKenzie-Smith, C. C. Mitelut, M. D. Castro, J. D’Uva, M. Kislin, D. H. Sanes, S. D. Kocher, S. S-H, A. L. Falkner, J. W. Shaevitz, and M. Murthy. Sleap: A deep learning system for multi-animal pose tracking. Nature Methods, 19(4), 2022

Other Study-Related Materials

Label:

centered_instance_best_model.h5

Notes:

application/x-h5

Other Study-Related Materials

Label:

centered_instance_training_config.json

Notes:

application/json

Other Study-Related Materials

Label:

centroid_best_model.h5

Notes:

application/x-h5

Other Study-Related Materials

Label:

centroid_training_config.json

Notes:

application/json

Other Study-Related Materials

Label:

Cockroach D2.slp

Text:

SLEAP slp file used for training.

Notes:

application/octet-stream

Other Study-Related Materials

Label:

Cockroach_skeleton.json

Text:

SLEAP skeleton used for machine learning training.

Notes:

application/json

Other Study-Related Materials

Label:

D2_0_2.mp4

Text:

Video file used for training.

Notes:

video/mp4

Other Study-Related Materials

Label:

README.txt

Text:

README text file.

Notes:

text/plain

Other Study-Related Materials

Label:

Roach Data using SLEAP.xls

Text:

Raw data with all SLEAP X- Y- coordinates.

Notes:

application/vnd.ms-excel