AIMC Topic: Brain

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Learning from the Brain: Bioinspired Nanofluidics.

The journal of physical chemistry letters Mar 16, 2023
The human brain completes intelligent behaviors such as the generation, transmission, and storage of neural signals by regulating the ionic conductivity of ion channels in neuron cells, which provides new inspiration for the development of ion-based ...
Artificial Intelligence Brain Humans
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Critically synchronized brain waves form an effective, robust and flexible basis for human memory and learning.

Scientific reports Mar 16, 2023
The effectiveness, robustness, and flexibility of memory and learning constitute the very essence of human natural intelligence, cognition, and consciousness. However, currently accepted views on these subjects have, to date, been put forth without a...
Brain Waves Neural Networks, Computer Algorithms Artificial Intelligence Brain Humans
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Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification.

Human brain mapping Mar 15, 2023
The validity and reliability of diagnoses in psychiatry is a challenging topic in mental health. The current mental health categorization is based primarily on symptoms and clinical course and is not biologically validated. Among multiple ongoing eff...
Humans Psychotic Disorders Deep Learning Brain Artificial Intelligence Magnetic Resonance Imaging Reproducibility of Results
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Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI.

NeuroImage. Clinical Mar 15, 2023
The application of convolutional neural networks (CNNs) to MRI data has emerged as a promising approach to achieving unprecedented levels of accuracy when predicting the course of neurological conditions, including multiple sclerosis, by means of ext...
Attention Deep Learning Humans Multiple Sclerosis Blindness Magnetic Resonance Imaging Brain
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Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging.

Stroke Mar 13, 2023
BACKGROUND: Cerebral venous thrombosis (CVT) is a rare cerebrovascular disease. Routine brain magnetic resonance imaging is commonly used to diagnose CVT. This study aimed to develop and evaluate a novel deep learning (DL) algorithm for detecting CVT...
Intracranial Thrombosis Venous Thrombosis Magnetic Resonance Imaging Female Deep Learning Humans Algorithms Brain
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Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities.

Sensors (Basel, Switzerland) Mar 11, 2023
Spiking neural networks (SNNs) are subjects of a topic that is gaining more and more interest nowadays. They more closely resemble actual neural networks in the brain than their second-generation counterparts, artificial neural networks (ANNs). SNNs ...
Computers Brain Action Potentials Humans Neural Networks, Computer Algorithms
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Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement.

Nature communications Mar 11, 2023
Perceptual enhancement of neural and behavioral response due to combinations of multisensory stimuli are found in many animal species across different sensory modalities. By mimicking the multisensory integration of ocular-vestibular cues for enhance...
Mammals Cues Cognition Robotics Visual Perception Space Perception Humans Brain Animals
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Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications.

Advanced materials (Deerfield Beach, Fla.) Mar 9, 2023
Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have...
Neurons Neural Networks, Computer Electronics Brain Synapses
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A comprehensive characterization of hippocampal feature ensemble serves as individualized brain signature for Alzheimer's disease: deep learning analysis in 3238 participants worldwide.

European radiology Mar 9, 2023
OBJECTIVES: Hippocampal characterization is one of the most significant hallmarks of Alzheimer's disease (AD); rather, the single-level feature is insufficient. A comprehensive hippocampal characterization is pivotal for developing a well-performing ...
Hippocampus Neuroimaging Magnetic Resonance Imaging Alzheimer Disease Humans Brain Biomarkers Deep Learning
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Robot-assisted bilateral deep brain electrode implantation to treat isolated oromandibular dystonia.

Asian journal of surgery Mar 8, 2023
Humans Brain Mouth Diseases Robotics Dystonia Electrodes
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