AIMC Topic: Mammals
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DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes.
IEEE/ACM transactions on computational biology and bioinformatics
Apr 3, 2023
N6-methyladenosine (m6A) is a common post-transcriptional alteration that plays a critical function in a variety of biological processes. Although experimental approaches for identifying m6A sites have been developed and deployed, they are currently ...
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry.
Neural networks : the official journal of the International Neural Network Society
Mar 30, 2023
Learning to navigate a complex environment is not a difficult task for a mammal. For example, finding the correct way to exit a maze following a sequence of cues, does not need a long training session. Just a single or a few runs through a new enviro...
Tritium: Its relevance, sources and impacts on non-human biota.
The Science of the total environment
Mar 13, 2023
Tritium (H) is a radioactive isotope of hydrogen that is abundantly released from nuclear industries. It is extremely mobile in the environment and in all biological systems, representing an increasing concern for the health of both humans and non-hu...
Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement.
Nature communications
Mar 11, 2023
Perceptual enhancement of neural and behavioral response due to combinations of multisensory stimuli are found in many animal species across different sensory modalities. By mimicking the multisensory integration of ocular-vestibular cues for enhance...
Multiplex Identification of Post-Translational Modifications at Point-of-Care by Deep Learning-Assisted Hydrogel Sensors.
Angewandte Chemie (International ed. in English)
Mar 9, 2023
Multiplex detection of protein post-translational modifications (PTMs), especially at point-of-care, is of great significance in cancer diagnosis. Herein, we report a machine learning-assisted photonic crystal hydrogel (PCH) sensor for multiplex dete...
Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.
Scientific reports
Mar 4, 2023
How do we make sense of the input from our sensory organs, and put the perceived information into context of our past experiences? The hippocampal-entorhinal complex plays a major role in the organization of memory and thought. The formation of and n...
Metamorphic aerial robot capable of mid-air shape morphing for rapid perching.
Scientific reports
Jan 23, 2023
Aerial robots can perch onto structures at heights to reduce energy use or to remain firmly in place when interacting with their surroundings. Like how birds have wings to fly and legs to perch, these bio-inspired aerial robots use independent perchi...
An automated, low volume, and high-throughput analytical platform for aggregate quantitation from cell culture media.
Journal of chromatography. A
Jan 21, 2023
High throughput screening methods have driven a paradigm shift in biopharmaceutical development by reducing the costs of good manufactured (COGM) and accelerate the launch to market of novel drug products. Scale-down cell culture systems such as shak...
Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning.
International journal of molecular sciences
Dec 7, 2022
N6-methyladenosine (mA) is the most abundant within eukaryotic messenger RNA modification, which plays an essential regulatory role in the control of cellular functions and gene expression. However, it remains an outstanding challenge to detect mRNA ...
A robotic model of hippocampal reverse replay for reinforcement learning.
Bioinspiration & biomimetics
Dec 2, 2022
Hippocampal reverse replay, a phenomenon in which recently active hippocampal cells reactivate in the reverse order, is thought to contribute to learning, particularly reinforcement learning (RL), in animals. Here, we present a novel computational mo...
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