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A generative model of electrophysiological brain responses to stimulation [PDF]
eLifeEach brain response to a stimulus is, to a large extent, unique. However this variability, our perceptual experience feels stable. Standard decoding models, which utilise information across several areas to tap into stimuli representation and processing,
Diego Vidaurre
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Lifelong generative modeling [PDF]
Neurocomputing, 2020 Lifelong learning is the problem of learning multiple consecutive tasks in a sequential manner, where knowledge gained from previous tasks is retained and used to aid future learning over the lifetime of the learner. It is essential towards the development of intelligent machines that can adapt to their surroundings. In this work we focus on a lifelong
Jason Ramapuram +2 more
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Survey of generative adversarial network
网络与信息安全学报, 2021 Firstly, the basic theory, application scenarios and current state of research of GAN (generative adversarial network) were introduced, and the problems need to be improved were listed. Then, recent research, improvement mechanism and model features in 2
WANG Zhenglong, ZHANG Baowen
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iPoLNG—An unsupervised model for the integrative analysis of single-cell multiomics data
Frontiers in Genetics, 2023 Single-cell multiomics technologies, where the transcriptomic and epigenomic profiles are simultaneously measured in the same set of single cells, pose significant challenges for effective integrative analysis. Here, we propose an unsupervised generative
Wenyu Zhang, Zhixiang Lin
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Sensors, 2021 Recently, most state-of-the-art anomaly detection methods are based on apparent motion and appearance reconstruction networks and use error estimation between generated and real information as detection features.
Tuan-Hung Vu +3 more
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Bacteriophage Genetic Edition Using LSTM
Frontiers in Bioinformatics, 2022 Bacteriophages are gaining increasing interest as antimicrobial tools, largely due to the emergence of multi-antibiotic–resistant bacteria. Although their huge diversity and virulence make them particularly attractive for targeting a wide range of ...
Shabnam Ataee +8 more
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Collaborative Contrastive Learning-Based Generative Model for Image Inpainting
IEEE Access, 2022 The critical challenge of image inpainting is to infer reasonable semantics and textures for a corrupted image. Typical methods for image inpainting are built upon some prior knowledge to synthesize the complete image.
Yongqiang Du, Haoran Liu, Songnan Chen
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Generative Models for Active Vision
Frontiers in Neurorobotics, 2021 The active visual system comprises the visual cortices, cerebral attention networks, and oculomotor system. While fascinating in its own right, it is also an important model for sensorimotor networks in general.
Thomas Parr +5 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 The human brain can be described as a complex network of functional connections between distinct regions, referred to as the brain functional network.
Yongjie Zhu, Jia Liu, Fengyu Cong
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Integrated Aircraft Design System Based on Generative Modelling
Aerospace, 2023 This article presents the effects of work performed during a software project for generative models and spreadsheets, allowing the quick creation of conceptual models for aircraft.
Wojciech Skarka +2 more
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