12 papers · ranked by Valyu relevance
Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller + 2 more
Methods for electro- or magnetoencephalography (EEG/MEG) based brain source imaging (BSI) using sparse Bayesian learning (SBL) have been demonstrated to achieve excellent performance in situations with low numbers of distinct active sources, such as event-related designs. This paper extends the theory and practice of…
Kensuke Tanioka, Yuki Furotani, Satoru Hiwa
Low-rank approximation is used for interpreting the features of a correlation matrix using visualization tools; however, a low-rank approximation may result in estimation that is far from zero even if the corresponding original value is zero. In such a case, the results lead to a misinterpretation. To overcome this, we…
Changjiang Xu, Delaram Pouyabahar, Veronique Voisin, Hamed Heydari + 1 more
Single-cell RNA sequencing (scRNA-seq) enables detailed comparisons of gene expression across cells and conditions. Single-cell differential expression analysis faces challenges like sample correlation, individual variation, and scalability. We developed a fast and scalable linear mixed-effects model (LMM) estimation…
Changjiang Xu, Delaram Pouyabahar, Veronique Voisin, Hamed Heydari + 1 more
Single-cell RNA sequencing (scRNA-seq) enables detailed comparisons of gene expression across cells and conditions. Single-cell differential expression analysis faces challenges like sample correlation, individual variation, and scalability. We developed a fast and scalable linear mixed-effects model (LMM) estimation…
Sharika Mohanan, David Horsell, Taylor Watters, Mohammadreza Ghasemi + 6 more
We apply a novel microscope architecture, the Exeter Multiscope, to the problem of acquiring image data in rapid succession from nine wells of a 96 well plate. We demonstrate that the new microscope can detect contraction in cardiomyocyte monolayers which have been plated into these wells. Each well is sampled using…
Rajeev V. Rikhye, Nishad Gothoskar, J. Swaroop Guntupalli, Antoine Dedieu + 2 more
Cognitive maps enable us to learn the layout of environments, encode and retrieve episodic memories, and navigate vicariously for mental evaluation of options. A unifying model of cognitive maps will need to explain how the maps can be learned scalably with sensory observations that are non-unique over multiple spatial…
Tianshu Li, Giancarlo La Camera
The application of hidden Markov models (HMMs) to neural data has uncovered hidden states and signatures of neural dynamics that are relevant for sensory and cognitive processes. However, training an HMM on cortical data requires a careful handling of model selection, since models with more numerous hidden states…
Helge J. Zöllner, Christopher W. Davies-Jenkins, Saipavitra Murali-Manohar, Tao Gong + 6 more
Expert consensus recommends linear-combination modeling (LCM) of ^1^H MR spectra with sequence-specific simulated metabolite basis function and experimentally derived macromolecular (MM) basis functions. Measured MM basis functions have been derived from metabolite-nulled spectra averaged across a small cohort. The use…
Sina Straub, Raphaela Schöpfer, Sarah Godehardt, Florian Wüthrich + 1 more
Accurate electrode placement is essential for studies using transcranial direct current stimulation (tDCS) since it determines whether – and to which extent - the intended brain region was modulated. Precise electrode placement also reduces between-subject variability. Using in-scanner tDCS, accuracy and precision of…
Ida Granö, Olli-Pekka Kahilakoski, Mikael Laine, Miriam Kirchhoff + 13 more
Determining the optimal stimulation target for motor responses (motor hotspot) and the required intensity for reliably eliciting said responses (motor threshold) are common procedures in transcranial magnetic stimulation (TMS) research and treatments. However, the procedures for determining them are user-dependent…
Sumedh S Nagrale, Alik S Widge
The use of Deep Brain Stimulation (DBS) on the ventral capsule/ventral striatum (VCVS) has therapeutic potential for patients with refractory psychiatric disorders, but clinical success is impeded by the need for a time-consuming and trial-and-error process when setting the parameters, this process relying on…
Deena Herman, Stevenson Baker, Jaime Cazes, Claude Alain + 1 more
We are so tuned to sensory changes that we can detect novelty within hundreds of milliseconds. To what extent does our capacity to automatically discriminate auditory inputs influence encoding of long-term memories? We recorded mismatch negativity (MMN), an event-related potential (ERP) indexing perceptual…