AIMC Topic: Mice
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Memristive Neural Networks for Predicting Seizure Activity.
Sovremennye tekhnologii v meditsine
Jul 28, 2023
UNLABELLED: is to assess the possibilities of predicting epileptiform activity using the neuronal activity data recorded from the hippocampus and medial entorhinal cortex of mice with chronic epileptiform activity. To reach this goal, a deep artific...
Submillimeter Multifunctional Ferromagnetic Fiber Robots for Navigation, Sensing, and Modulation.
Advanced healthcare materials
Jul 27, 2023
Small-scale robots capable of remote active steering and navigation offer great potential for biomedical applications. However, the current design and manufacturing procedure impede their miniaturization and integration of various diagnostic and ther...
DeepSATA: A Deep Learning-Based Sequence Analyzer Incorporating the Transcription Factor Binding Affinity to Dissect the Effects of Non-Coding Genetic Variants.
International journal of molecular sciences
Jul 27, 2023
Utilizing large-scale epigenomics data, deep learning tools can predict the regulatory activity of genomic sequences, annotate non-coding genetic variants, and uncover mechanisms behind complex traits. However, these tools primarily rely on human or ...
DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants.
PLoS computational biology
Jul 24, 2023
The genetic etiology of brain disorders is highly heterogeneous, characterized by abnormalities in the development of the central nervous system that lead to diminished physical or intellectual capabilities. The process of determining which gene driv...
Classification of multiple emotional states from facial expressions in head-fixed mice using a deep learning-based image analysis.
PloS one
Jul 20, 2023
Facial expressions are widely recognized as universal indicators of underlying internal states in most species of animals, thereby presenting as a non-invasive measure for assessing physical and mental conditions. Despite the advancement of artificia...
Extended performance analysis of deep-learning algorithms for mice vocalization segmentation.
Scientific reports
Jul 11, 2023
Ultrasonic vocalizations (USVs) analysis represents a fundamental tool to study animal communication. It can be used to perform a behavioral investigation of mice for ethological studies and in the field of neuroscience and neuropharmacology. The USV...
Learned spatiotemporal correlation priors for CEST image denoising using incorporated global-spectral convolution neural network.
Magnetic resonance in medicine
Jun 18, 2023
PURPOSE: To develop a deep learning-based method, dubbed Denoising CEST Network (DECENT), to fully exploit the spatiotemporal correlation prior to CEST image denoising.
ReachingBot: An automated and scalable benchtop device for highly parallel Single Pellet Reach-and-Grasp training and assessment in mice.
Journal of neuroscience methods
Jun 16, 2023
BACKGROUND: The single pellet reaching and grasp (SPRG) task is a behavioural assay widely used to study motor learning, control and recovery after nervous system injury in animals. The manual training and assessment of the SPRG is labour intensive a...
High-resolution CMOS-based biosensor for assessing hippocampal circuit dynamics in experience-dependent plasticity.
Biosensors & bioelectronics
Jun 12, 2023
Experiential richness creates tissue-level changes and synaptic plasticity as patterns emerge from rhythmic spatiotemporal activity of large interconnected neuronal assemblies. Despite numerous experimental and computational approaches at different s...
In situ sensing physiological properties of biological tissues using wireless miniature soft robots.
Science advances
Jun 7, 2023
Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanced physiological properties of soft biological tissues continuously, such as adhesion, pH, viscoelasticity, and biomarkers for disease diagnosis. Howe...
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