This paper presents an important advance in genetically encoded voltage imaging of the developing zebrafish spinal cord in vivo, capturing voltage dynamics in neuronal populations, single cells, and ...
Abstract: Lunar gravity assists (LGAs) are widely utilized in mission designs to potentially reduce transfer costs, particularly in noncoplanar cases requiring inclination adjustments. The commonly ...
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
Abstract: Space-mapping neural network (SMNN) technology has been widely applied for parametric modeling of microwave components. However, existing SMNN technologies struggle to address the challenges ...
“I just can’t make it tonight. You have fun without me.” Across much of the animal kingdom, when infection strikes, social contact shuts down. A study headed by researchers at The Picower Institute ...
ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...
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