13 papers · ranked by Valyu relevance
Julio A. Peraza, Taylor Salo, Michael C. Riedel, Katherine L. Bottenhorn + 14 more
Macroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end, and transmodal regions associated with the…
Y Gao, T. Y Li, Q. Sun, C. Y Ye + 4 more
The skeleton is able to adapt to mechanical loading through bone remodeling, i.e. bone resorption followed by bone formation. The osteoclasts close to microdamages are believed to initiate bone resorption, but whether local mechanical loading such as fluid flow regulates recruitment and differentiation of osteoclast…
Sawako Yamashiro, Misato Nomura, Nils Chapin, Sreeja Sasidharan + 5 more
Cells sense and respond to fluid shear stress. Cell surfaces are exposed to flow, yet the influence of shear stress on the behavior of plasma membrane proteins remains unclear. Here we show that extracellular flow induces the gradient distribution of cell membrane proteins with increasing concentration toward the…
Varun L. Kopparthy, Niel D. Crews
We report the development of a versatile system based on oscillating-flow methodology in a thermal gradient system for nucleic acid analysis. Analysis of DNA and RNA samples were performed in the device, without additional temperature control and complexity. The technique reported in this study eliminates the need for…
Young Joon Kim, Nora Brackbill, Ella Batty, JinHyung Lee + 4 more
Decoding sensory stimuli from neural activity can provide insight into how the nervous system might interpret the physical environment, and facilitates the development of brain-machine interfaces. Nevertheless, the neural decoding problem remains a significant open challenge. Here, we present an efficient nonlinear…
Cécile Daversin-Catty, Vegard Vinje, Kent-André Mardal, Marie E. Rognes
Flow of cerebrospinal fluid (CSF) in perivascular spaces (PVS) is one of the key concepts involved in theories concerning clearance from the brain. Experimental studies have demonstrated both net and oscillatory movement of microspheres in PVS (Mestre et al. (2018), Bedussi et al. (2018)). The oscillatory particle…
Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten + 3 more
Decoding sensory stimuli from neural signals can be used to reveal how we sense our physical environment, and is valuable for the design of brain-machine interfaces. However, existing linear techniques for neural decoding may not fully reveal or exploit the fidelity of the neural signal. Here we develop a new…
C. Daniel Greenidge, Benjamin Scholl, Jacob L. Yates, Jonathan W. Pillow
Neural decoding methods provide a powerful tool for quantifying the information content of neural population codes and the limits imposed by correlations in neural activity. However, standard decoding methods are prone to overfitting and scale poorly to high-dimensional settings. Here, we introduce a novel decoding…
Ashwin Ramachandran, Howard A. Stone, Zemer Gitai
Planktonic (free-floating) cells are typically assumed to be oblivious to any flow that carries them. Here we discover that planktonic bacteria can sense flow to induce gene expression changes that are beneficial in flow. Specifically, planktonic P. aeruginosa induce shear-rate-dependent genes that promote growth in…
Felix Moerman, Emanuel A. Fronhofer, Andreas Wagner, Florian Altermatt
At species’ range edges, individuals often face novel environmental conditions that may limit expansion until populations adapt. The potential to adapt depends on genetic variation upon which selection can act. However, populations at species’ range edges are often genetically depauperated. One mechanism to increase…
Ganchao Wei, Daniela de Albuquerque, Miles Martinez, Shiyang Pan + 1 more
While neuroscience experiments have repeatedly demonstrated the involvement of large populations of neurons in even simple behaviors, these studies have just as often reported that the collective dynamics of neural activity are approximately low-dimensional. As a result, methods for identifying low-dimensional latent…
Eva L. Dyer, Mohammad Gheshlaghi Azar, Hugo L. Fernandes, Matthew G. Perich + 3 more
Brain decoders use neural recordings to infer a user’s activity or intent. To train a decoder, we generally need infer the variables of interest (covariates) using simultaneously measured neural activity. However, there are many cases where this approach is not possible. Here we overcome this problem by introducing a…
Yikai Liu, Guang Lin, Ming Chen
Molecular dynamics (MD) simulations remain the standard tool for characterizing protein conformational landscapes, but their high computational cost limits large-scale and long-timescale applications. Recent generative models, especially diffusion-based approaches, provide promising alternatives by learning equilibrium…