AIMC Topic: Brain

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Subtle adversarial image manipulations influence both human and machine perception.

Nature communications Aug 15, 2023
Although artificial neural networks (ANNs) were inspired by the brain, ANNs exhibit a brittleness not generally observed in human perception. One shortcoming of ANNs is their susceptibility to adversarial perturbations-subtle modulations of natural i...
Perception Neural Networks, Computer Brain Humans
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Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.

Fetal diagnosis and therapy Aug 11, 2023
INTRODUCTION: The aim of this study was to develop a pipeline using state-of-the-art deep learning methods to automatically delineate and measure several of the most important brain structures in fetal brain ultrasound (US) images.
Fetus Female Ultrasonography, Prenatal Deep Learning Brain Humans Head Pregnancy
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Deep Learning Segmentation of the Nucleus Basalis of Meynert on 3T MRI.

AJNR. American journal of neuroradiology Aug 10, 2023
BACKGROUND AND PURPOSE: The nucleus basalis of Meynert is a key subcortical structure that is important in arousal and cognition and has been explored as a deep brain stimulation target but is difficult to study due to its small size, variability amo...
Basal Nucleus of Meynert Brain Deep Learning Cognition Humans Magnetic Resonance Imaging
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DLATA: Deep Learning-Assisted transformation alignment of 2D brain slice histology.

Neuroscience letters Aug 9, 2023
Accurate alignment of brain slices is crucial for the classification of neuron populations by brain region, and for quantitative analysis in in vitro brain studies. Current semi-automated alignment workflows require labor intensive labeling of featur...
Brain Animals Deep Learning Neurons Image Processing, Computer-Assisted Mice
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Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in and studies.

Diagnostic and interventional radiology (Ankara, Turkey) Aug 9, 2023
PURPOSE: Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in or studies. The purpos...
Deep Learning Motion Humans Brain Quality Improvement Diffusion Magnetic Resonance Imaging
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Image Quality Improvement in Deep Learning Image Reconstruction of Head Computed Tomography Examination.

Tomography (Ann Arbor, Mich.) Aug 9, 2023
In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Learning Image Reconstruction) and compare it with iterative reconstruction ASIR-V (Adaptive Statistical Iterative Reconstruction) in CT (computed tomogr...
Humans Brain Image Processing, Computer-Assisted Quality Improvement Tomography, X-Ray Computed Deep Learning
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Long- and short-term history effects in a spiking network model of statistical learning.

Scientific reports Aug 9, 2023
The statistical structure of the environment is often important when making decisions. There are multiple theories of how the brain represents statistical structure. One such theory states that neural activity spontaneously samples from probability d...
Brain Learning Models, Neurological Action Potentials Neural Networks, Computer Algorithms
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A novel method for modeling effective connections between brain regions based on EEG signals and graph neural networks for motor imagery detection.

Computer methods in biomechanics and biomedical engineering Aug 7, 2023
Classified as biomedical signal processing, cerebral signal processing plays a key role in human-computer interaction (HCI) and medical diagnosis. The motor imagery (MI) problem is an important research area in this field. Accurate solutions to this ...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Imagination Brain Electroencephalography
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Distribution Patterns of Subgroups of Inhibitory Neurons Divided by Calbindin 1.

Molecular neurobiology Aug 7, 2023
The inhibitory neurons in the brain play an essential role in neural network firing patterns by releasing γ-aminobutyric acid (GABA) as the neurotransmitter. In the mouse brain, based on the protein molecular markers, inhibitory neurons are usually t...
Animals Parvalbumins Neural Networks, Computer Mice Neurons Mice, Transgenic Brain Calbindin 1
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Multitasking via baseline control in recurrent neural networks.

Proceedings of the National Academy of Sciences of the United States of America Aug 7, 2023
Changes in behavioral state, such as arousal and movements, strongly affect neural activity in sensory areas, and can be modeled as long-range projections regulating the mean and variance of baseline input currents. What are the computational benefit...
Neural Networks, Computer Artificial Intelligence Brain
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