AIMC Topic: Macaca mulatta

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Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks.

IEEE transactions on cybernetics May 16, 2014
Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates' socia...
Macaca mulatta Wireless Technology Cybernetics Security Measures Robotics Computer Simulation Models, Biological Communication Behavior, Animal Animals
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Deep transfer learning-based decoder calibration for intracortical brain-machine interfaces.

Computers in biology and medicine Jun 1, 2025
Intracortical brain-machine interfaces (iBMIs) aim to establish a communication path between the brain and external devices. However, in the daily use of iBMIs, the non-stationarity of recorded neural signals necessitates frequent recalibration of th...
Neural Networks, Computer Signal Processing, Computer-Assisted Calibration Brain-Computer Interfaces Macaca mulatta Animals Male Deep Learning
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Machine learning identification of enhancers in the rhesus macaque genome.

Neuron May 21, 2025
Nonhuman primate (NHP) neuroanatomy and cognitive complexity make NHPs ideal models to study human neurobiology and disease. However, NHP circuit-function investigations are limited by the availability of molecular reagents that are effective in NHPs...
Dorsolateral Prefrontal Cortex Macaca mulatta Animals Genome Enhancer Elements, Genetic Machine Learning
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An exploratory deep learning approach to investigate tuberculosis pathogenesis in nonhuman primate model: Combining automated radiological analysis with clinical and biomarkers data.

Journal of medical primatology Aug 1, 2024
BACKGROUND: Tuberculosis (TB) kills approximately 1.6 million people yearly despite the fact anti-TB drugs are generally curative. Therefore, TB-case detection and monitoring of therapy, need a comprehensive approach. Automated radiological analysis,...
Biomarkers Tomography, X-Ray Computed Tuberculosis Lung Tuberculosis, Pulmonary Deep Learning Mycobacterium tuberculosis Disease Models, Animal Macaca mulatta Female Monkey Diseases Animals Male
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How multisensory neurons solve causal inference.

Proceedings of the National Academy of Sciences of the United States of America Aug 10, 2021
Sitting in a static railway carriage can produce illusory self-motion if the train on an adjoining track moves off. While our visual system registers motion, vestibular signals indicate that we are stationary. The brain is faced with a difficult chal...
Neural Networks, Computer Animals Cues Motion Perception Sensory Receptor Cells Photic Stimulation Macaca mulatta Temporal Lobe
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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.

Cornea May 1, 2021
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficiency virus (SIV)-infected macaques by combining in vivo corneal confocal microscopy (IVCM) with automated assessments using deep learning-based methods c...
Simian Acquired Immunodeficiency Syndrome Simian Immunodeficiency Virus Trigeminal Nerve Diseases Acute Disease RNA, Viral Nerve Fibers Macaca mulatta Eye Infections, Viral Macaca nemestrina Real-Time Polymerase Chain Reaction Microscopy, Confocal Disease Models, Animal Male Middle Aged Deep Learning Humans Cornea Animals Neural Networks, Computer Female
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Decoding movement direction from cortical microelectrode recordings using an LSTM-based neural network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Brain-machine interfaces (BMIs) allow individuals to communicate with computers using neural signals, and Kalman Filter (KF) are prevailingly used to decode movement directions from these neural signals. In this paper, we implemented a multi-layer lo...
Movement Animals Humans Macaca mulatta Brain-Computer Interfaces Neural Networks, Computer Microelectrodes
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Neural Decoding Forelimb Trajectory Using Evolutionary Neural Networks with Feedback-Error-Learning Schemes.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Changes in the functional mapping between neural activities and kinematic parameters over time poses a challenge to current neural decoder of brain machine interfaces (BMIs). Traditional decoders robust to changes in functional mappings required many...
Neural Networks, Computer Feedback Animals Rats Brain-Computer Interfaces Macaca mulatta Forelimb
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Superior arm-movement decoding from cortex with a new, unsupervised-learning algorithm.

Journal of neural engineering Apr 1, 2018
OBJECTIVE: The aim of this work is to improve the state of the art for motor-control with a brain-machine interface (BMI). BMIs use neurological recording devices and decoding algorithms to transform brain activity directly into real-time control of ...
Algorithms Animals Male Motor Cortex Macaca mulatta Unsupervised Machine Learning Electrodes, Implanted Arm Movement
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Augmenting intracortical brain-machine interface with neurally driven error detectors.

Journal of neural engineering Dec 1, 2017
OBJECTIVE: Making mistakes is inevitable, but identifying them allows us to correct or adapt our behavior to improve future performance. Current brain-machine interfaces (BMIs) make errors that need to be explicitly corrected by the user, thereby con...
Brain-Computer Interfaces Acoustic Stimulation Photic Stimulation Motor Cortex Support Vector Machine Animals Macaca mulatta Action Potentials Male Principal Component Analysis Electrodes, Implanted
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