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Mean-field based framework for forward modeling of LFP and MEG signals [PDF]
Frontiers in Computational Neuroscience, 2022 The use of mean-field models to describe the activity of large neuronal populations has become a very powerful tool for large-scale or whole brain simulations.
Federico Tesler +4 more
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Remote SensingMagnetotelluric (MT) forward modeling is a key technique in magnetotelluric sounding, and deep learning has been widely applied to MT forward modeling.
Fei Deng +3 more
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The Optical Inverse Problem in Quantitative Photoacoustic Tomography: A Review
Photonics, 2023 Photoacoustic tomography is a fast-growing biomedical imaging modality that combines rich optical contrast with a high acoustic resolution, at depths in tissues.
Zeqi Wang, Wei Tao, Hui Zhao
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Frontiers in Earth Science, 2022 The submarine gas hydrate usually exists in the sediment on the continental slope. The bottom simulating reflector on the reflected seismic was identified as the bottom of the hydrate stability zone.
Ning Qiu +12 more
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Dizhi lixue xuebao, 2022 Due to the complicated tectonic and sedimentary history and the lack of effective paleo-thermal indicators, the Meso-Neoproterozoic thermal history of the Yanliao rift zone in the northern margin of the North China Craton is ambiguous, which causes the ...
LI Chenxing +4 more
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The Accuracy Assessment of Lithospheric Density Models
Applied Sciences, 2023 The Earth’s synthetic gravitational and density models can be used to validate numerical procedures applied for global (or large-scale regional) gravimetric forward and inverse modeling.
Robert Tenzer, Wenjin Chen
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Remote Sensing, 2022 Landslides, as one of the main problems in mountainous areas, are a challenging issue for modern geophysics. The triggers that cause these phenomena are diverse (including geological, geomorphological, and hydrological conditions, climatic factors, and ...
Małgorzata Wróbel +6 more
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Remote Sensing, 2022 Airborne and semi-airborne transient electromagnetic (TEM) surveys have high efficiency but may suffer from systematic errors due to the inexact shape, position, and orientation of the transmitter and receiver, which can deviate from the nominal design ...
Tao Chen, Dikun Yang
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Diamonds and Forward Variance Models
SSRN Electronic Journal, 2022 In this non-technical introduction to diamond trees and forests, we focus on their application to computation in stochastic volatility models written in forward variance form, rough volatility models in particular.
Friz, Peter, Gatheral, Jim
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Dizhen xuebao, 2022 地震波在穿越地下散射体群时会产生多级散射波，分析其地震响应特征，可推断散射体的分布情况和性质。本文从二维标量波动方程出发，结合地震散射理论和波恩近似理论，推导了多级散射波方程。在此基础上，采用高阶有限差分法对双点散射体模型和复杂散射体模型进行数值模拟，分析了多级散射波的传播规律和波场特征，并通过抽取多级散射记录和各级散射记录的单道记录与参考单道记录的对比，验证了本文推导散射波方程的准确性。
Bo Zhang +4 more
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