AIMC Topic: Brain

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An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification.

Artificial intelligence in medicine Dec 2, 2023
Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) build a communication path between human brain and external devices. Among EEG-based BCI paradigms, the most commonly used one is motor imagery (MI). As a hot research topic, MI EEG-ba...
Brain-Computer Interfaces Brain Communication Humans Deep Learning Electroencephalography
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Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks.

PLoS computational biology Dec 1, 2023
We present the Fast Greedy Equivalence Search (FGES)-Merge, a new method for learning the structure of gene regulatory networks via merging locally learned Bayesian networks, based on the fast greedy equivalent search algorithm. The method is competi...
Artificial Intelligence Computational Biology Brain Algorithms Bayes Theorem Humans Gene Regulatory Networks
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Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.

IEEE transactions on neural networks and learning systems Nov 30, 2023
The brain-inspired spiking neural networks (SNNs) hold the advantages of lower power consumption and powerful computing capability. However, the lack of effective learning algorithms has obstructed the theoretical advance and applications of SNNs. Th...
Algorithms Brain Neural Networks, Computer Supervised Machine Learning Action Potentials
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Beyond spiking networks: The computational advantages of dendritic amplification and input segregation.

Proceedings of the National Academy of Sciences of the United States of America Nov 29, 2023
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspired learning rules for improving current artificial intelligence technology. Most biological models are composed of point neurons and cannot achieve st...
Action Potentials Neurons Brain Models, Neurological Machine Learning Artificial Intelligence
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Predicting Tacit Coordination Success Using Electroencephalogram Trajectories: The Impact of Task Difficulty.

Sensors (Basel, Switzerland) Nov 29, 2023
In this study, we aim to develop a machine learning model to predict the level of coordination between two players in tacit coordination games by analyzing the similarity of their spatial EEG features. We present an analysis, demonstrating the model'...
Machine Learning Algorithms Semantics Humans Brain Electroencephalography
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Voxel representation of brain images inpainting via Regional Pixel Semantic Network and pyramidal attention AE - Quantile differential mechanism model.

Computers in biology and medicine Nov 28, 2023
Medical image inpainting holds significant importance in enhancing the quality of medical images by restoring missing areas, thereby rendering them suitable for diagnostic purposes. While several techniques have been previously proposed for medical i...
Semantic Web Brain Neural Networks, Computer Image Processing, Computer-Assisted
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verified anatomically aware deep learning for real-time electric field simulation.

Journal of neural engineering Nov 28, 2023
Transcranial magnetic stimulation (TMS) has emerged as a prominent non-invasive technique for modulating brain function and treating mental disorders. By generating a high-precision magnetically evoked electric field (E-field) using a TMS coil, it en...
Brain Mapping Gray Matter Deep Learning Transcranial Magnetic Stimulation Humans Brain
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CEST and nuclear Overhauser enhancement imaging with deep learning-extrapolated semisolid magnetization transfer reference: Scan-rescan reproducibility and reliability studies.

Magnetic resonance in medicine Nov 27, 2023
PURPOSE: To develop a novel MR physics-driven, deep-learning, extrapolated semisolid magnetization transfer reference (DeepEMR) framework to provide fast, reliable magnetization transfer contrast (MTC) and CEST signal estimations, and to determine th...
Humans Algorithms Deep Learning Brain Neoplasms Amides Magnetic Resonance Imaging Brain Cross-Sectional Studies Reproducibility of Results
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Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases.

Neuroradiology Nov 23, 2023
PURPOSE: The noteworthy performance of Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence text generation model based on the GPT-4 architecture, has been demonstrated in various fields; however, its potential applications i...
Neck Head Brain Neoplasms Humans Artificial Intelligence
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Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network.

Sensors (Basel, Switzerland) Nov 23, 2023
Interpretation of neural activity in response to stimulations received from the surrounding environment is necessary to realize automatic brain decoding. Analyzing the brain recordings corresponding to visual stimulation helps to infer the effects of...
Neural Networks, Computer Brain Head
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