AIMC Topic: Macaca

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Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.

eLife May 6, 2025
Deep learning-based methods have advanced animal pose estimation, enhancing accuracy, and efficiency in quantifying animal behavior. However, these methods frequently experience tracking drift, where noise-induced jumps in body point estimates compro...
Animals Behavior, Animal Drosophila Macaca Deep Learning Mice
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Contrastive machine learning reveals species -shared and -specific brain functional architecture.

Medical image analysis Dec 12, 2024
A deep comparative analysis of brain functional connectome across species in primates has the potential to yield valuable insights for both scientific and clinical applications. However, the interspecies commonality and differences are inherently ent...
Connectome Macaca Magnetic Resonance Imaging Species Specificity Humans Brain Machine Learning Animals
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Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.

PLoS computational biology May 23, 2024
Responses to natural stimuli in area V4-a mid-level area of the visual ventral stream-are well predicted by features from convolutional neural networks (CNNs) trained on image classification. This result has been taken as evidence for the functional ...
Computational Biology Models, Neurological Neurons Neural Networks, Computer Animals Macaca mulatta Visual Cortex Macaca Semantics Photic Stimulation
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SVPath: A Deep Learning Tool for Analysis of Stria Vascularis from Histology Slides.

Journal of the Association for Research in Otolaryngology : JARO May 17, 2024
INTRODUCTION: The stria vascularis (SV) may have a significant role in various otologic pathologies. Currently, researchers manually segment and analyze the stria vascularis to measure structural atrophy. Our group developed a tool, SVPath, that uses...
Stria Vascularis Macaca Temporal Bone Animals Capillaries Deep Learning
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Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks.

eLife Apr 25, 2024
Primates can recognize objects despite 3D geometric variations such as in-depth rotations. The computational mechanisms that give rise to such invariances are yet to be fully understood. A curious case of partial invariance occurs in the macaque face...
Macaca mulatta Macaca Neural Networks, Computer Brain Models, Neurological Animals Neurons
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Exploring Radiomics Features Based on H&E Images as Potential Biomarkers for Evaluating Muscle Atrophy: A Preliminary Study.

Journal of imaging informatics in medicine Apr 23, 2024
Radiomics features have been widely used as novel biomarkers in the diagnosis of various diseases, but whether radiomics features derived from hematoxylin and eosin (H&E) images can evaluate muscle atrophy has not been studied. Therefore, this study ...
Animals Support Vector Machine Macaca Muscular Atrophy Disease Models, Animal Biomarkers Female Radiomics
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Neural representational geometry underlies few-shot concept learning.

Proceedings of the National Academy of Sciences of the United States of America Oct 17, 2022
Understanding the neural basis of the remarkable human cognitive capacity to learn novel concepts from just one or a few sensory experiences constitutes a fundamental problem. We propose a simple, biologically plausible, mathematically tractable, and...
Humans Learning Animals Neural Networks, Computer Plastics Visual Pathways Primates Concept Formation Macaca
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Multiscale segmentation- and error-guided iterative convolutional neural network for cerebral neuron segmentation in microscopic images.

Microscopy research and technique Jul 20, 2022
This article uses microscopy images obtained from diverse anatomical regions of macaque brain for neuron semantic segmentation. The complex structure of brain, the large intra-class staining intensity difference within neuron class, the small inter-c...
Macaca Animals Image Processing, Computer-Assisted Neurons Neural Networks, Computer Brain
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Reduced and stable feature sets selection with random forest for neurons segmentation in histological images of macaque brain.

Scientific reports Nov 26, 2021
In preclinical research, histology images are produced using powerful optical microscopes to digitize entire sections at cell scale. Quantification of stained tissue relies on machine learning driven segmentation. However, such methods require multip...
Machine Learning Algorithms Brain Neurons Animals Microscopy Image Processing, Computer-Assisted Macaca
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LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals.

Nature methods Aug 5, 2021
Markerless three-dimensional (3D) pose estimation has become an indispensable tool for kinematic studies of laboratory animals. Most current methods recover 3D poses by multi-view triangulation of deep network-based two-dimensional (2D) pose estimate...
Animals, Laboratory Mice Rats Macaca Animals Algorithms Calibration Female Posture Deep Learning Drosophila melanogaster Imaging, Three-Dimensional
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