AIMC Topic: Primates

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Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates.

Physiological measurement Jun 10, 2025
To develop and validate a machine learning framework for the classification of distinct seizure onset patterns using intracranial EEG (iEEG) recordings in a non-human primate (NHP) model of penicillin-induced seizures.iEEG data were collected from si...
Machine Learning Animals Electroencephalography Automation Electrocorticography Primates Seizures Signal Processing, Computer-Assisted
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The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates.

Annual review of vision science Sep 2, 2024
Inferences made about objects via vision, such as rapid and accurate categorization, are core to primate cognition despite the algorithmic challenge posed by varying viewpoints and scenes. Until recently, the brain mechanisms that support these capab...
Primates Visual Pathways Artificial Intelligence Animals Pattern Recognition, Visual Brain Humans Recognition, Psychology Neural Networks, Computer
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Applying machine learning to primate bioacoustics: Review and perspectives.

American journal of primatology Aug 9, 2024
This paper provides a comprehensive review of the use of computational bioacoustics as well as signal and speech processing techniques in the analysis of primate vocal communication. We explore the potential implications of machine learning and deep ...
Machine Learning Animals Acoustics Vocalization, Animal Primates
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How well do rudimentary plasticity rules predict adult visual object learning?

PLoS computational biology Dec 11, 2023
A core problem in visual object learning is using a finite number of images of a new object to accurately identify that object in future, novel images. One longstanding, conceptual hypothesis asserts that this core problem is solved by adult brains t...
Visual Perception Pattern Recognition, Visual Animals Models, Neurological Primates Spatial Learning Humans Brain Adult Neural Networks, Computer
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Hierarchies in Visual Pathway: Functions and Inspired Artificial Vision.

Advanced materials (Deerfield Beach, Fla.) Nov 30, 2023
The development of artificial intelligence has posed a challenge to machine vision based on conventional complementary metal-oxide semiconductor (CMOS) circuits owing to its high latency and inefficient power consumption originating from the data shu...
Visual Pathways Visual Perception Primates Animals Vision, Ocular Artificial Intelligence Computers
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Architecture of the brain's visual system enhances network stability and performance through layers, delays, and feedback.

PLoS computational biology Nov 10, 2023
In the visual system of primates, image information propagates across successive cortical areas, and there is also local feedback within an area and long-range feedback across areas. Recent findings suggest that the resulting temporal dynamics of neu...
Animals Neural Networks, Computer Primates Brain Neurons Feedback
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Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations.

Nature communications Jun 7, 2023
Deep neural networks (DNNs) optimized for visual tasks learn representations that align layer depth with the hierarchy of visual areas in the primate brain. One interpretation of this finding is that hierarchical representations are necessary to accu...
Humans Neural Networks, Computer Learning Animals Brain Magnetic Resonance Imaging Primates
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Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models.

Academic radiology Feb 27, 2023
RATIONALE AND OBJECTIVES: Animal modeling of infectious diseases such as coronavirus disease 2019 (COVID-19) is important for exploration of natural history, understanding of pathogenesis, and evaluation of countermeasures. Preclinical studies enable...
Deep Learning Primates Animals Lung COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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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...
Concept Formation Primates Neural Networks, Computer Animals Learning Plastics Humans Visual Pathways Macaca
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Face identity coding in the deep neural network and primate brain.

Communications biology Jun 20, 2022
A central challenge in face perception research is to understand how neurons encode face identities. This challenge has not been met largely due to the lack of simultaneous access to the entire face processing neural network and the lack of a compreh...
Facial Recognition Animals Neural Networks, Computer Primates Neurons Brain
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