10 papers · ranked by Valyu relevance
Damien J. Mannion, Maria del Mar Quiroga, Jacob M. Paul, Marta I. Garrido
The processing of neuroimaging data typically involves a complicated set of operations, which often require different software packages and have intensive computational and storage demands. Although there are many options available for the neuroimaging researcher to establish their preferred set of processing…
Jidong Liu, Jianxiong Xie, Qiaoyan Hao, Yutao Hu + 6 more
Reconfigurable optoelectronic image sensors capable of in-sensor computing are promising for energy-efficient edge visual perception. Self-powered photovoltaic operation further reduces the power demand of image sensing and processing. However, it remains challenging to achieve a continuously gate-tunable self-powered…
Justin D Shin, Michael Satchell, Paul Miller, Shantanu P Jadhav + 2 more
REM (rapid eye movement) and non-REM (NREM) sleep stages contribute to systems memory consolidation in hippocampal-cortical circuits. However, the physiological mechanisms underlying REM memory processes remain relatively unclear compared to NREM memory reactivation. Here we report, in rodents, the existence of…
Yiming Xue, Xiaojian Liu, Weimin Zhu, Shengfan Wang + 2 more
While protein-RNA interactions are fundamental to post-transcriptional processes, achieving a holistic understanding of their regulatory logic remains challenging. Current computational models often treat binding affinity, interface mapping, and RNA design as isolated tasks, thereby failing to provide a unified…
Hongling Gan, Guichun Huang, Lin Zhang, Lanyan Cen + 4 more
This study examined how the inoculation sequence of Saccharomyces cerevisiae (Sc) and Wickerhamomyces anomalus (Wa), along with Dendrobium nobile Lindl. (D. nobile) addition, affects rice wine quality. Sequential inoculation with D. nobile yielded the highest levels of polysaccharides, alkaloids, flavonoids, and…
Annu Pandey, Anton Bjurström, Dhirendra Sahoo, Yuanyuan Li + 8 more
The development of material-efficient electrode platforms for controlling metal dispersion and interfacial charge transfer is central to advanced electrochemical technologies. Here, carbon fibers are used as active substrates for engineering metal-carbon interfaces via thermal activation and sequential…
Kata Horváth, Dezso Nemeth, Karolina Janacsek, Andrea Kóbor
In an ever-changing environment, synchronizing automatic and controlled behaviors is essential for successful adaptation. Yet, the relationship between these behaviors is often debated, partly because of the diverse approaches used to investigate them. The present study examined how statistical learning of…
Hiroyuki Kusano, Takayuki Shiomi
Digital pathology has rapidly expanded over the past decade, driven by advances in whole-slide imaging and increasing demand for remote and data-integrated diagnostic workflows. However, many implementations remain limited to partial digitization, without fundamentally transforming laboratory and diagnostic processes.…
Hayato Idei, Keisuke Suzuki, Yuichi Yamashita
Mindfulness has established psychological benefits, such as stress reduction and emotional regulation; however, the underlying computational mechanisms, particularly in relation to mind-wandering, remain unclear. This study aimed to present a hierarchical recurrent neural network-based agent model grounded in the free…
Lou Thomas, Gaia Scerif, Hodo Yusuf, Mackenzie Laird + 3 more
Diffusion decision models (DDMs) offer the potential to go beyond standard accuracy and response-time indices to better understand perceptual decision-making in autism. One unanswered question is whether autistic participants can flexibly adjust the speed and accuracy of their decision-making according to task demands.…