Mograbi and Morris review work highlighting an interesting phenomenon whereby individuals are explicitly anosognosic for their deficits despite intact expression of implicit awareness. Parallels exist between this phenomenon and recent cognitive neuroscience findings demonstrating intact memory test performance despite unawareness of performance. We discuss these parallels with regard to the proposed CAM model. Given that it is possible to investigate the neurological underpinnings of explicit and implicit processing in memory tasks, methods from cognitive neuroscience may offer substantial insight into implicit awareness in anosognosia in various forms of dementia as well as in addition to advancing theoretical understanding of anosognosia broadly.
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http://dx.doi.org/10.1080/17588928.2013.854757 | DOI Listing |
Reconstructing deformable soft tissues from endoscopic videos is a critical yet challenging task. Leveraging depth priors, deformable implicit neural representations have seen significant advancements in this field. However, depth priors from pre-trained depth estimation models are often coarse, and inaccurate depth supervision can severely impair the performance of these neural networks.
View Article and Find Full Text PDFSci Rep
March 2025
College of Computer and Control Engineering, Northeast Forestry University, HeXing Road, Harbin, China.
Traffic flow prediction is a key challenge in intelligent transportation, and the ability to accurately forecast future traffic flow directly affects the efficiency of urban transportation systems. However, existing deep learning-based prediction models suffer from the following issues: First, CNN- or RNN-based models are limited by their architecture and unsuitable for modeling long-term sequences. Second, most Transformer-based methods focus solely on the traffic flow data itself during embedding, neglecting the implicit information behind the traffic data.
View Article and Find Full Text PDFCognition
March 2025
Research Group Neural Circuits, Consciousness and Cognition, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany; Predictive Brain Department, Research Center One Health Ruhr, Ruhr-Universität Bochum, Germany.
Past experiences influence how we perceive and respond to the present. A striking example is awareness priming, in which prior conscious perception enhances visibility and discrimination of subsequent stimuli. In this partially pre-registered study, we address a long-standing debate and broaden the scope of awareness priming by demonstrating its effects on implicit motor responses.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
March 2025
Diffusion models have garnered significant attention for MRI Super-Resolution (SR) and have achieved promising results. However, existing diffusion-based SR models face two formidable challenges: 1) insufficient exploitation of complementary information from multi-contrast images, which hinders the faithful reconstruction of texture details and anatomical structures; and 2) reliance on fixed magnification factors, such as 2× or 4×, which is impractical for clinical scenarios that require arbitrary scale magnification. To circumvent these issues, this paper introduces IM-Diff, an implicit multi-contrast diffusion model for arbitrary-scale MRI SR, leveraging the merits of both multi-contrast information and the continuous nature of implicit neural representation (INR).
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2024
The development of programs and campaigns to promote climate change awareness and actions should account for implicit attitudes to make them effective. Alongside behavioural measures, it is important to investigate and understand the neural mechanisms underlying unconscious beliefs, and opinions and how external factors can influence them. Therefore, this study administered a Single-Category Implicit Association Test to 22 healthy volunteers while acquiring EEG signals.
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