AIMC Topic: Brain

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TumorDetNet: A unified deep learning model for brain tumor detection and classification.

PloS one Sep 27, 2023
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment process and helps to save the lives of a large number of people worldwide. Because they are non-invasive and spare patients from having an unpleasant biopsy, ...
Meningeal Neoplasms Deep Learning Radiopharmaceuticals Glioma Meningioma Brain Humans Brain Neoplasms
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From lazy to rich to exclusive task representations in neural networks and neural codes.

Current opinion in neurobiology Sep 25, 2023
Neural circuits-both in the brain and in "artificial" neural network models-learn to solve a remarkable variety of tasks, and there is a great current opportunity to use neural networks as models for brain function. Key to this endeavor is the abilit...
Neural Networks, Computer Machine Learning Brain Neurosciences
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On the visual analytic intelligence of neural networks.

Nature communications Sep 25, 2023
Visual oddity task was conceived to study universal ethnic-independent analytic intelligence of humans from a perspective of comprehension of spatial concepts. Advancements in artificial intelligence led to important breakthroughs, yet excelling at s...
Brain Neural Networks, Computer Intelligence Humans Learning Artificial Intelligence
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A Deep Learning Model for Correlation Analysis between Electroencephalography Signal and Speech Stimuli.

Sensors (Basel, Switzerland) Sep 23, 2023
In recent years, the use of electroencephalography (EEG) has grown as a tool for diagnostic and brain function monitoring, being a simple and non-invasive method compared with other procedures like histological sampling. Typically, in order to extrac...
Neural Networks, Computer Artifacts Humans Algorithms Brain Speech Deep Learning Electroencephalography
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Distinct subtypes of spatial brain metabolism patterns in Alzheimer's disease identified by deep learning-based FDG PET clusters.

European journal of nuclear medicine and molecular imaging Sep 22, 2023
PURPOSE: Alzheimer's disease (AD) is a heterogeneous disease that presents a broad spectrum of clinicopathologic profiles. To date, objective subtyping of AD independent of disease progression using brain imaging has been required. Our study aimed to...
Brain Disease Progression Humans Fluorodeoxyglucose F18 Alzheimer Disease Positron-Emission Tomography Deep Learning Cognitive Dysfunction
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Deep learning enabled fast 3D brain MRI at 0.055 tesla.

Science advances Sep 22, 2023
In recent years, there has been an intensive development of portable ultralow-field magnetic resonance imaging (MRI) for low-cost, shielding-free, and point-of-care applications. However, its quality is poor and scan time is long. We propose a fast a...
Point-of-Care Systems Deep Learning Humans Brain Magnetic Resonance Imaging
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Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification.

Journal of computational neuroscience Sep 18, 2023
Spiking neural networks (SNNs), as the third generation of neural networks, are based on biological models of human brain neurons. In this work, a shallow SNN plays the role of an explicit image decoder in the image classification. An LSTM-based EEG ...
Models, Neurological Humans Neurons Neural Networks, Computer Brain
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A GPU-based computational framework that bridges neuron simulation and artificial intelligence.

Nature communications Sep 18, 2023
Biophysically detailed multi-compartment models are powerful tools to explore computational principles of the brain and also serve as a theoretical framework to generate algorithms for artificial intelligence (AI) systems. However, the expensive comp...
Humans Pyramidal Cells Artificial Intelligence Algorithms Brain Neurons
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A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.

Computer methods and programs in biomedicine Sep 17, 2023
Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these infants can be accurately estimated by brain ultrasound (US) imaging which enables a longitudinal study of early brain growth during Neonatal Intensive Care (NI...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Longitudinal Studies Infant, Premature Brain Infant, Newborn Neural Networks, Computer Humans
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A biologically inspired architecture with switching units can learn to generalize across backgrounds.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2023
Humans and other animals navigate different environments effortlessly, their brains rapidly and accurately generalizing across contexts. Despite recent progress in deep learning, this flexibility remains a challenge for many artificial systems. Here,...
Neural Networks, Computer Brain Humans Generalization, Psychological
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