A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3208511
Abstract: Dynamic imaging is essential for analyzing various biological processes but faces two main challenges: data incompleteness and computational burden. For many imaging systems, high frame rates and short acquisition times require severe undersampling, leading to… read more here.
Keywords: dynamic image; neural fields; reconstruction; image reconstruction ... See more keywords
Dynamic Neural Fields with Intrinsic Plasticity
Sign Up to like & getrecommendations! Published in 2017 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2017.00074
Abstract: Dynamic neural fields (DNFs) are dynamical systems models that approximate the activity of large, homogeneous, and recurrently connected neural networks based on a mean field approach. Within dynamic field theory, the DNFs have been used… read more here.
Keywords: intrinsic plasticity; input; fields intrinsic; neural fields ... See more keywords
Consciousness Beyond Neural Fields: Expanding the Possibilities of What Has Not Yet Happened
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.762349
Abstract: In the field theories in physics, any particular region of the presumed space-time continuum and all interactions between elementary objects therein can be objectively measured and/or accounted for mathematically. Since this does not apply to… read more here.
Keywords: neural fields; consciousness; fields expanding; consciousness beyond ... See more keywords