Deep Learning Improves Automated Rodent Behavior Recognition Within a Specific Experimental Setup.

07:00 EST 30th November 2019 | BioPortfolio

Summary of "Deep Learning Improves Automated Rodent Behavior Recognition Within a Specific Experimental Setup."

Automated observation and analysis of rodent behavior is important to facilitate research progress in neuroscience and pharmacology. Available automated systems lack adaptivity and can benefit from advances in AI. In this work we compare a state-of-the-art conventional Rat Behavior Recognition (RBR) system to an advanced deep learning method and evaluate its performance within and across experimental setups. We show that using a Multi-Fiber network (MF-Net) in conjunction with data augmentation strategies within-setup dataset performance improves over the conventional RBR system. Two new methods for video augmentation were used: video cutout and dynamic illumination change. However, we also show that improvements do not transfer to videos in different experimental setups, for which we discuss possible causes and cures.


Journal Details

This article was published in the following journal.

Name: Journal of neuroscience methods
ISSN: 1872-678X
Pages: 108536


DeepDyve research library

PubMed Articles [15507 Associated PubMed Articles listed on BioPortfolio]

Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the auto...

Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography.

Although deep-learning algorithms have been used to compute fractional flow reserve (FFR) from coronary computed tomography angiography (CCTA), no study has achieved 'fully automated' (i.e. free from ...

DeepBehavior: A Deep Learning Toolbox for Automated Analysis of Animal and Human Behavior Imaging Data.

Detailed behavioral analysis is key to understanding the brain-behavior relationship. Here, we present deep learning-based methods for analysis of behavior imaging data in mice and humans. Specificall...

Automated sleep scoring: A review of the latest approaches.

Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a human expert, according to official standards. It could appear then a suitable task for modern artificial intel...

Deep-Learning for Automated Classification of Inferior Vena Cava Filter Types on Radiographs.

To demonstrate the feasibility and evaluate the performance of a deep-learning convolutional neural network (CNN) classification model for automated identification of different types of inferior vena ...

Clinical Trials [7562 Associated Clinical Trials listed on BioPortfolio]

Deep Learning Algorithm for Recognition of Colonic Segments.

The purpose of this study is to develop and validate a deep learning algorithm to realize automatic recognition of colonic segments under conventional colonoscopy. Then, evaluate the accur...

Automated Telephone Outreach With Speech Recognition to Improve Diabetes Care: A Randomized Controlled Study

The purpose of this study is to evaluate the effectiveness of automated telephone outreach with speech recognition to improve diabetes care.

Research of Automated Maculopathy Screening Based on AI Techniques Using OCT Images

The investigators expect to develop an algorithm that can interpret OCT images and automated determine whether the macula is normal or not by using OCT image-based deep learning techniques...

Multi-center Database Registry to Study Thalamus Changes Using AI in MS

In this study the Investigator's propose to validate a newly developed approach, DeepGRAI (Deep Gray Rating via Artificial Intelligence), to simplify the calculation of thalamic atrophy in...

Deep-learning Based Location of Spine CT

CT-guided epidural steroid injection (ESI) thrives among interventional radiologists. Although X-ray fluoroscopy still remains as the gold standard to guide ESI, CT guidance has the merits...

Medical and Biotech [MESH] Definitions

A method of differentiating individuals based on the analysis of qualitative or quantitative biological traits or patterns. This process which has applications in forensics and identity theft prevention includes DNA profiles or DNA fingerprints, hand fingerprints, automated facial recognition, iris scan, hand geometry, retinal scan, vascular patterns, automated voice pattern recognition, and ultrasound of fingers.

Process in which individuals take the initiative, in diagnosing their learning needs, formulating learning goals, identifying resources for learning, choosing and implementing learning strategies and evaluating learning outcomes (Knowles, 1975)

In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)

The application of modern theories of learning and conditioning in the treatment of behavior disorders.

Behavioral science applied with the aim of improving socially important issues such as behavior problems and learning. For individuals diagnosed with intellectual and developmental disabilities including AUTISM, techniques can be categorized as comprehensive or focused.

Quick Search

DeepDyve research library

Relevant Topic

Antiretroviral therapy
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...

Searches Linking to this Article