High-level visual representations in the human brain are aligned with large language models [0.03%]
人类大脑中的高级视觉表征与大型语言模型一致
Adrien Doerig,Tim C Kietzmann,Emily Allen et al.
Adrien Doerig et al.
The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative approach for studying this information remai...
Histopathology-based protein multiplex generation using deep learning [0.03%]
基于深度学习的免疫组化病理图像多路蛋白信号生成技术
Sonali Andani,Boqi Chen,Joanna Ficek-Pascual et al.
Sonali Andani et al.
Multiplexed protein imaging offers valuable insights into interactions between tumours and their surrounding tumour microenvironment, but its widespread use is limited by cost, time and tissue availability. Here we present HistoPlexer, a de...
Sparse learned kernels for interpretable and efficient medical time series processing [0.03%]
可解释且高效的医疗时间序列处理的稀疏学习核函数
Sully F Chen,Zhicheng Guo,Cheng Ding et al.
Sully F Chen et al.
Rapid, reliable and accurate interpretation of medical time series signals is crucial for high-stakes clinical decision-making. Deep learning methods offered unprecedented performance in medical signal processing but at a cost: they were co...
An end-to-end recurrent compressed sensing method to denoise, detect and demix calcium imaging data [0.03%]
一种端到端的递归压缩感知钙成像数据去噪、检测和解混方法
Kangning Zhang,Sean Tang,Vivian Zhu et al.
Kangning Zhang et al.
Two-photon calcium imaging provides large-scale recordings of neuronal activities at cellular resolution. A robust, automated and high-speed pipeline to simultaneously segment the spatial footprints of neurons and extract their temporal act...
Multiscale topology-enabled structure-to-sequence transformer for protein-ligand interaction predictions [0.03%]
基于多尺度拓扑的结构到序列变换器在蛋白质-配体相互作用预测中的应用
Dong Chen,Jian Liu,Guo-Wei Wei
Dong Chen
Despite the success of pretrained natural language processing (NLP) models in various fields, their application in computational biology has been hindered by their reliance on biological sequences, which ignores vital three-dimensional (3D)...
Model-based reinforcement learning for ultrasound-driven autonomous microrobots [0.03%]
基于模型的强化学习在微机器人超声控制中的应用研究
Mahmoud Medany,Lorenzo Piglia,Liam Achenbach et al.
Mahmoud Medany et al.
Reinforcement learning is emerging as a powerful tool for microrobots control, as it enables autonomous navigation in environments where classical control approaches fall short. However, applying reinforcement learning to microrobotics is d...
Integrating multimodal cancer data using deep latent variable path modelling [0.03%]
基于深度潜在变量路径模型的多模态癌症数据整合
Alex Ing,Alvaro Andrades,Marco Raffaele Cosenza et al.
Alex Ing et al.
Cancers are commonly characterized by a complex pathology encompassing genetic, microscopic and macroscopic features, which can be probed individually using imaging and omics technologies. Integrating these data to obtain a full understandi...
Bioinspired trajectory modulation for effective slip control in robot manipulation [0.03%]
一种生物启发的轨迹调制方法实现机器人操作中的有效滑动控制
Kiyanoush Nazari,Willow Mandil,Marco Santello et al.
Kiyanoush Nazari et al.
Ensuring a stable grasp during robotic manipulation is essential for dexterous and reliable performance. Traditionally, slip control has relied on grip force modulation. Here we show that trajectory modulation provides an effective alternat...
Next-generation phenotyping of inherited retinal diseases from multimodal imaging with Eye2Gene [0.03%]
Eye2Gene的多模态影像下一代遗传性视网膜疾病表型分析
Nikolas Pontikos,William A Woof,Siying Lin et al.
Nikolas Pontikos et al.
Rare eye diseases such as inherited retinal diseases (IRDs) are challenging to diagnose genetically. IRDs are typically monogenic disorders and represent a leading cause of blindness in children and working-age adults worldwide. A growing n...
Dimensions underlying the representational alignment of deep neural networks with humans [0.03%]
深度神经网络与人类表征一致性的潜在维度
Florian P Mahner,Lukas Muttenthaler,Umut Güçlü et al.
Florian P Mahner et al.
Determining the similarities and differences between humans and artificial intelligence (AI) is an important goal in both computational cognitive neuroscience and machine learning, promising a deeper understanding of human cognition and saf...