AIMC Topic: Macaca

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Decision making under uncertainty in a spiking neural network model of the basal ganglia.

Journal of integrative neuroscience Dec 21, 2016
The mechanisms of decision-making and action selection are generally thought to be under the control of parallel cortico-subcortical loops connecting back to distinct areas of cortex through the basal ganglia and processing motor, cognitive and limbi...
Reversal Learning Macaca Uncertainty Basal Ganglia Extinction, Psychological Cerebral Cortex Motor Activity Models, Neurological Decision Making Neurons Reward Neural Networks, Computer Synapses Animals Neuronal Plasticity
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Improved pan-specific prediction of MHC class I peptide binding using a novel receptor clustering data partitioning strategy.

HLA Oct 20, 2016
Pan-specific prediction of receptor-ligand interaction is conventionally done using machine-learning methods that integrates information about both receptor and ligand primary sequences. To achieve optimal performance using machine learning, dealing ...
Alleles Histocompatibility Antigens Class I Ligands Macaca Protein Interaction Domains and Motifs Humans Structural Homology, Protein Mice Software Gorilla gorilla Machine Learning Oligopeptides Gene Expression Animals Pan troglodytes Binding Sites Epitopes Protein Binding
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A Computational Framework for Realistic Retina Modeling.

International journal of neural systems Apr 7, 2016
Computational simulations of the retina have led to valuable insights about the biophysics of its neuronal activity and processing principles. A great number of retina models have been proposed to reproduce the behavioral diversity of the different v...
Neural Networks, Computer Linear Models Membrane Potentials Computer Simulation Neural Pathways Software Macaca Algorithms Adaptation, Physiological Feedback, Physiological Models, Neurological Retina Nonlinear Dynamics Animals Neuronal Plasticity Pattern Recognition, Automated Vision, Ocular
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Complex patterns arise through spontaneous symmetry breaking in dense homogeneous networks of neural oscillators.

Scientific reports Feb 26, 2016
There has been much interest in understanding collective dynamics in networks of brain regions due to their role in behavior and cognitive function. Here we show that a simple, homogeneous system of densely connected oscillators, representing the agg...
Neurons Neural Networks, Computer Biological Clocks Brain Macaca Animals
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A deep learning lightweight model for real-time captive macaque facial recognition based on an improved YOLOX model.

Zoological research Mar 18, 2025
Automated behavior monitoring of macaques offers transformative potential for advancing biomedical research and animal welfare. However, reliably identifying individual macaques in group environments remains a significant challenge. This study introd...
Deep Learning Automated Facial Recognition Facial Recognition Macaca Animals
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DeepSeg: A transfer-learning segmentation tool for limited sample training of nonhuman primate MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Tissue segmentation of individual magnetic resonance imaging (MRI) is a fundamental step in building accurate head models for brain stimulation. In nonhuman primates (NHPs), due to limited sample size, site variability, and sub-optimal image quality,...
Brain Animals Image Processing, Computer-Assisted Humans Machine Learning Algorithms Magnetic Resonance Imaging Macaca
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Convolutional neural network models applied to neuronal responses in macaque V1 reveal limited nonlinear processing.

Journal of vision Jun 3, 2024
Computational models of the primary visual cortex (V1) have suggested that V1 neurons behave like Gabor filters followed by simple nonlinearities. However, recent work employing convolutional neural network (CNN) models has suggested that V1 relies o...
Models, Neurological Macaca Photic Stimulation Neural Networks, Computer Neurons Primary Visual Cortex Visual Cortex Animals Nonlinear Dynamics
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Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cell individualization has a vital role in digital pathology image analysis. Deep Learning is considered as an efficient tool for instance segmentation tasks, including cell individualization. However, the precision of the Deep Learning model relies ...
Brain Animals Macaca Deep Learning Image Processing, Computer-Assisted Neurons
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Unsupervised neural network models of the ventral visual stream.

Proceedings of the National Academy of Sciences of the United States of America Jan 19, 2021
Deep neural networks currently provide the best quantitative models of the response patterns of neurons throughout the primate ventral visual stream. However, such networks have remained implausible as a model of the development of the ventral stream...
Child Unsupervised Machine Learning Neurons Humans Neural Networks, Computer Animals Visual Cortex Macaca Datasets as Topic Nerve Net Pattern Recognition, Visual
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Neural population control via deep image synthesis.

Science (New York, N.Y.) May 3, 2019
Particular deep artificial neural networks (ANNs) are today's most accurate models of the primate brain's ventral visual stream. Using an ANN-driven image synthesis method, we found that luminous power patterns (i.e., images) can be applied to primat...
Animals Models, Neurological Neurons Visual Cortex Macaca Visual Fields Nerve Net Neural Networks, Computer
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