AIMC Topic: Animals, Newborn
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Parallel development of object recognition in newborn chicks and deep neural networks.
PLoS computational biology
Dec 2, 2024
How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual development can be understood as a blind fitting process (akin to evolution) in which visual systems gradually adapt to the spatiotemporal data distri...
Neonatal brain inflammation enhances methamphetamine-induced reinstated behavioral sensitization in adult rats analyzed with explainable machine learning.
Neurochemistry international
Apr 17, 2024
Neonatal brain inflammation produced by intraperitoneal (i.p.) injection of lipopolysaccharide (LPS) results in long-lasting brain dopaminergic injury and motor disturbances in adult rats. The goal of the present work is to investigate the effect of ...
Automated procedure to assess pup retrieval in laboratory mice.
Scientific reports
Jan 31, 2022
All mammalian mothers form some sort of caring bond with their infants that is crucial to the development of their offspring. The Pup Retrieval Test (PRT) is the leading procedure to assess pup-directed maternal care in laboratory rodents, used in a ...
Machine learning-based data analytic approaches for evaluating post-natal mouse respiratory physiological evolution.
Respiratory physiology & neurobiology
Sep 30, 2020
Respiratory parameters change during post-natal development, but the nature of their changes have not been well-described. The advent of commercially available plethysmographic instruments provided improved repeatability of measurements and standardi...
Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle.
Journal of dairy science
Aug 22, 2019
In this study, we compared multiple logistic regression, a linear method, to naive Bayes and random forest, 2 nonlinear machine-learning methods. We used all 3 methods to predict individual survival to second lactation in dairy heifers. The data set ...
A supervised machine learning approach to characterize spinal network function.
Journal of neurophysiology
Apr 3, 2019
Spontaneous activity is a common feature of immature neuronal networks throughout the central nervous system and plays an important role in network development and consolidation. In postnatal rodents, spontaneous activity in the spinal cord exhibits ...
Antiproliferative and anti-apoptotic effect of astaxanthin in an oxygen-induced retinopathy mouse model.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Apr 11, 2018
OBJECTIVE: To evaluate the impact of intravitreal (IV) and intraperitoneal (IP) astaxanthin (AST) injections on neovascular development (ND), retinal morphology, and apoptotic activity in a C57BL/6J mouse model with hyperoxia-induced retinopathy (HIR...
A machine learning approach for automated assessment of retinal vasculature in the oxygen induced retinopathy model.
Scientific reports
Mar 2, 2018
Preclinical studies of vascular retinal diseases rely on the assessment of developmental dystrophies in the oxygen induced retinopathy rodent model. The quantification of vessel tufts and avascular regions is typically computed manually from flat mou...
Associations between management practices and within-pen prevalence of calf diarrhea and respiratory disease on dairy farms using automated milk feeders.
Journal of dairy science
Dec 28, 2017
Data on management practices used with automated milk feeders (AMF) are needed to identify factors associated with calf health in these systems. The objectives of this observational, longitudinal, cross-sectional study were to estimate the prevalence...
Call category classification of the isolation-induced ultrasonic vocalizations emitted by BTBR TItpr3/J mouse pups exposed to different perinatal diets.
Brain research
Sep 1, 2025
Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive behaviors/restricted interests that may be diagnosed as early as 2 years of age. This suggests that the pathology underlying the disorder is present du...
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