SEMANTICS-GUIDED HIERARCHICAL FEATURE ENCODING GENERATIVE ADVERSARIAL NETWORK FOR VISUAL IMAGE RECONSTRUCTION FROM BRAIN ACTIVITY

Semantics-Guided Hierarchical Feature Encoding Generative Adversarial Network for Visual Image Reconstruction From Brain Activity

The utilization of deep learning techniques for decoding visual perception images from brain activity recorded by functional magnetic resonance imaging (fMRI) has garnered considerable attention in recent research.However, reconstructed images from previous studies still suffer from low quality or unreliability.Moreover, the complexity inherent to

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Acute Confusional Migraines: A Case Report

Introduction: Acute confusional migraine (ACM) is a rare variant of migraine that is benign and self-resolving but difficult to diagnose.Without known causative pathophysiology and a lack Maori Design Guitar Straps of recognition in the International Classification of Headache Disorders (ICHD-3), ACM offers a puzzling clinical presentation.There cu

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Multi-Baseline Bistatic SAR Three-Dimensional Imaging Method Based on Phase Error Calibration Combining PGA and EB-ISOA

Watering Cans Tomographic synthetic aperture radar (TomoSAR) is an advanced three-dimensional (3D) synthetic aperture radar (SAR) imaging technology that can obtain multiple SAR images through multi-track observations, thereby reconstructing the 3D spatial structure of targets.However, due to system limitations, the multi-baseline (MB) monostatic S

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