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The curtain of technical limitations impeding rat multichannel non-invasive electroencephalography (EEG) has risen. Given the importance of this preclinical model, development and validation of EEG source imaging (ESI) is essential. We…

Neurons and Cognition · Quantitative Biology 2016-01-26 Pedro A. Valdes-Hernandez , Jihye Bae , Yinchen Song , Akira Sumiyoshi , Eduardo Aubert-Vazquez , Jorge J. Riera

Electrode density optimization in electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) requires balancing practical usability against signal fidelity, particularly for source localization. Reducing electrodes enhances…

Neurons and Cognition · Quantitative Biology 2025-10-14 Eva Guttmann-Flury , Yanyan Wei , Shan Zhao , Jian Zhao , Mohamad Sawan

Background and Objective: Transcranial temporal interference stimulation (tTIS) is a promising non-invasive brain stimulation technique in which interference between electrical current fields extends the possibilities of electrical brain…

Numerical Analysis · Mathematics 2026-02-05 Santtu Söderholm , Maryam Samavaki , Sampsa Pursiainen

We present a review of methods for optimal experimental design (OED) for Bayesian inverse problems governed by partial differential equations with infinite-dimensional parameters. The focus is on problems where one seeks to optimize the…

Optimization and Control · Mathematics 2021-02-01 Alen Alexanderian

Cardiac digital twins (CDTs) offer personalized in-silico cardiac representations for the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs requires precise information about the electrode position on the…

Image and Video Processing · Electrical Eng. & Systems 2025-02-26 Lei Li , Hannah Smith , Yilin Lyu , Julia Camps , Shuang Qian , Blanca Rodriguez , Abhirup Banerjee , Vicente Grau

Research on transcranial magnetic stimulation (TMS) combined with encephalography feedback (EEG-TMS) has shown that the phase of the sensorimotor mu rhythm is predictive of corticospinal excitability. Thus, if the subject-specific optimal…

Neurons and Cognition · Quantitative Biology 2024-10-10 Miriam Kirchhoff , Dania Humaidan , Ulf Ziemann

A novel and highly efficient computational framework for reconstructing binary-type images suitable for models of various complexity seen in diverse biomedical applications is developed and validated. Efficiency in computational speed and…

Optimization and Control · Mathematics 2024-02-09 Paul R. Arbic , Vladislav Bukshtynov

Electromagnetic stimulation of the human brain is a key tool for the neurophysiological characterization and diagnosis of several neurological disorders. Transcranial magnetic stimulation (TMS) is one procedure that is commonly used…

Machine Learning · Computer Science 2020-02-04 Essam A. Rashed , Jose Gomez-Tames , Akimasa Hirata

Magnetic Detection Electrical Impedance Tomography is a novel technique that could enable non-invasive imaging of fast neural activity in the brain. However, commercial magnetometers are not suited to its technical requirements.…

Medical Physics · Physics 2024-12-19 Kai Mason , Florencia Maurino-Alperovich , Kirill Aristovich , David Holder

Objective: The strengths of Electrical Impedance Tomography (EIT) are its capability of imaging the internal body by using a noninvasive, radiation safe technique, and the absence of known hazards. In this paper we introduce a novel idea of…

Signal Processing · Electrical Eng. & Systems 2022-03-08 Sebastien Martin

Investigation of human brain states through electroencephalograph (EEG) signals is a crucial step in human-machine communications. However, classifying and analyzing EEG signals are challenging due to their noisy, nonlinear and…

Machine Learning · Statistics 2019-12-19 Farzana Nasrin , Christopher Oballe , David L. Boothe , Vasileios Maroulas

Accurate electroencephalogram (EEG) pattern decoding for specific mental tasks is one of the key steps for the development of brain-computer interface (BCI), which is quite challenging due to the considerably low signal-to-noise ratio of…

Signal Processing · Electrical Eng. & Systems 2020-12-15 Yu Zhang , Tao Zhou , Wei Wu , Hua Xie , Hongru Zhu , Guoxu Zhou , Andrzej Cichocki

To optimize electron energy toward in-situ imaging large bio-samples up to 10-um thickness with nanoscale resolution, we implemented an analytical model based on elastic and inelastic characteristic angles [1]. This model can be used to…

Applied Physics · Physics 2023-12-27 Xi Yang , Victor Smaluk , Timur Shaftan

Using Bayesian experimental design techniques, we have shown that for a single two-level quantum mechanical system under strong (projective) measurement, the dynamical parameters of a model Hamiltonian can be estimated with exponentially…

Quantum Physics · Physics 2012-06-05 Christopher Ferrie , Christopher E. Granade , D. G. Cory

We present a flexible method for computing Bayesian optimal experimental designs (BOEDs) for inverse problems with intractable posteriors. The approach is applicable to a wide range of BOED problems and can accommodate various optimality…

Computation · Statistics 2024-08-20 Karina Koval , Roland Herzog , Robert Scheichl

Realizing high-throughput aberration-corrected Scanning Transmission Electron Microscopy (STEM) exploration of atomic structures requires rapid tuning of multipole probe correctors while compensating for the inevitable drift of the optical…

Machine Learning · Computer Science 2026-01-28 Utkarsh Pratiush , Austin Houston , Richard Liu , Gerd Duscher , Sergei Kalinin

Bioelectric source analysis in the human brain from scalp electroencephalography (EEG) signals is sensitive to the conductivity of the different head tissues. Conductivity values are subject dependent, so non-invasive methods for…

Computational Engineering, Finance, and Science · Computer Science 2019-08-30 Kostiantyn Maksymenko , Maureen Clerc , Théodore Papadopoulo

Recordings of electrical brain activity carry information about a person's cognitive health. For recording EEG signals, a very common setting is for a subject to be at rest with its eyes closed. Analysis of these recordings often involve a…

Neurons and Cognition · Quantitative Biology 2018-12-18 Sebastian Mathias Keller , Maxim Samarin , Antonia Meyer , Vitalii Kosak , Ute Gschwandtner , Peter Fuhr , Volker Roth

We propose an immersed boundary scheme for the numerical resolution of the Complete Electrode Model in Electrical Impedance Tomography, that we use as a main ingredient in the resolution of inverse problems in medical imaging. Such method…

Numerical Analysis · Mathematics 2023-05-24 Jérémi Dardé , Niami Nasr , Lisl Weynans

Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through electrodes placed on the scalp. Analyzing EEG signals contributes to the understanding of neurological conditions and developing brain-computer…

Signal Processing · Electrical Eng. & Systems 2024-12-25 Haili Ye , Stephan Goerttler , Fei He