AIMC Topic: Macaca mulatta

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Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025
Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr...
Animals Male Deep Learning Wakefulness Action Potentials Macaca mulatta Neurons Pursuit, Smooth Cerebellum
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Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Journal of neural engineering Jul 21, 2025
Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections within the brain to restore functional deficits. Towards this goal, we demonstrate that small artificial spiking neural networks can be bidirectional...
Neural Networks, Computer Brain-Computer Interfaces Motor Cortex Animals Macaca mulatta Male Action Potentials Neurons
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Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons.

Nature communications Jul 1, 2025
Body pose and orientation serve as vital visual signals in primate non-verbal social communication. Leveraging deep learning algorithms that extract body poses from videos of behaving monkeys, applied to a monkey avatar, we investigated neural tuning...
Male Deep Learning Magnetic Resonance Imaging Animals Temporal Lobe Neurons Visual Perception Macaca mulatta Posture Models, Neurological
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Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Journal of neural engineering Jun 27, 2025
Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries by 'decoding' neural signals into behavior. Recently, nonlinear BMI decoders have outperformed previous state-of-the-art linear decoders, but few studi...
Brain-Computer Interfaces Fingers Movement Male Linear Models Motor Cortex Macaca mulatta Neural Networks, Computer Animals
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences.

eLife Jun 16, 2025
The brain is thought to construct an optimal internal model representing the probabilistic structure of the environment accurately. Evidence suggests that spontaneous brain activity gives such a model by cycling through activity patterns evoked by pr...
Neurons Cerebral Cortex Nerve Net Macaca mulatta Animals Models, Neurological Action Potentials Learning
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The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques.

Scientific reports Apr 7, 2025
Despite advancements in video-based behaviour analysis and detection models for various species, existing methods are suboptimal to detect macaques in complex laboratory environments. To address this gap, we present MacqD, a modified Mask R-CNN model...
Animals, Laboratory Animals Housing, Animal Deep Learning Behavior, Animal Video Recording Macaca mulatta
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Deep learning-based automated segmentation of cardiac real-time MRI in non-human primates.

Computers in biology and medicine Mar 13, 2025
Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascular disease diagnosis and monitoring in humans and animal models. Real-time (RT) MRI, which can capture a single slice during each consecutive heartbea...
Animals Male Heart Heart Ventricles Deep Learning Macaca mulatta Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Latent circuit inference from heterogeneous neural responses during cognitive tasks.

Nature neuroscience Feb 10, 2025
Higher cortical areas carry a wide range of sensory, cognitive and motor signals mixed in heterogeneous responses of single neurons tuned to multiple task variables. Dimensionality reduction methods that rely on correlations between neural activity a...
Cognition Models, Neurological Decision Making Neural Networks, Computer Male Macaca mulatta Neurons Animals Prefrontal Cortex Nerve Net Photic Stimulation
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Spatio-temporal transformers for decoding neural movement control.

Journal of neural engineering Feb 4, 2025
. Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to...
Psychomotor Performance Neural Networks, Computer Movement Animals Macaca mulatta Motor Cortex Male Models, Neurological Spatio-Temporal Analysis Action Potentials Neurons
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Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface.

Journal of neural engineering Jan 29, 2025
Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to computing a global iBCI de...
Electromyography Brain-Computer Interfaces Male Macaca mulatta Algorithms Muscle, Skeletal Motor Cortex Unsupervised Machine Learning Animals
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