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About 4,116 papers for “Decodes”

Decodes

Steinfeld, K, Ko, J · eScholarship (California Digital Library) · 2013

This paper presents three strategies - host-independence, domainspecificity, and context-appropriate abstraction - for the design of a textual programming environment supporting computational architectural design that more effectively addresses the needs implied by common practices within this community. A survey of existing computational design environments is first presented through the lens of these three strategies. An outline is then presented for a platform-independent computational geometry library built upon each of these strategies, alongside a report of progress made on implementing this platform thus far. More information on this project may be found at http://decod.es/. © 2013, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong, and Center for Advanced Studies in Architecture (CASA), Department of Architecture-NUS, Singapore.

Cited by 0Open access

Decodes

Steinfeld, K, Ko, J · eScholarship (California Digital Library) · 2013

This paper presents three strategies - host-independence, domainspecificity, and context-appropriate abstraction - for the design of a textual programming environment supporting computational architectural design that more effectively addresses the needs implied by common practices within this community. A survey of existing computational design environments is first presented through the lens of these three strategies. An outline is then presented for a platform-independent computational geometry library built upon each of these strategies, alongside a report of progress made on implementing this platform thus far. More information on this project may be found at http://decod.es/. © 2013, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong, and Center for Advanced Studies in Architecture (CASA), Department of Architecture-NUS, Singapore.

Cited by 0Open access

Decodes

Ad's (Musikgruppe), Seaplane Harbour (Musikgruppe), Elvis Studio · 2001

Cited by 0

Decodes

Steinfeld, K, Ko, J · eScholarship (California Digital Library) · 2013

This paper presents three strategies - host-independence, domainspecificity, and context-appropriate abstraction - for the design of a textual programming environment supporting computational architectural design that more effectively addresses the needs implied by common practices within this community. A survey of existing computational design environments is first presented through the lens of these three strategies. An outline is then presented for a platform-independent computational geometry library built upon each of these strategies, alongside a report of progress made on implementing this platform thus far. More information on this project may be found at http://decod.es/. © 2013, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong, and Center for Advanced Studies in Architecture (CASA), Department of Architecture-NUS, Singapore.

Cited by 0

PKC decodes Ca2+

Nicole LeBrasseur · The Journal of Cell Biology · 2006

Movements of a swift kinase keep up with quick calcium bursts, based on findings of Reither et al. (page 521). Figure 1 Ca2+ waves are read out as waves of PKCα translocation to the plasma membrane (shown). Cellular Ca2+ signals come in many flavors—from long-lasting global increases to waves to brief local plumes. Each flavor is translated into a specific cellular response by Ca2+ sensors, including calmodulin and conventional PKCs (cPKCs). Upon Ca2+ binding, PKCα—a common cPKC—translocates to the plasma membrane, the location of most of its targets, including ion channels and transporters. The bulkiness of PKCα might suggest that its diffusion constants should be too low for rapidly following the fast and brief Ca2+ signals. Many researchers thus suspected that tiny calmodulin must be the main translator of these signals. But the new findings reveal that PKCα is fleet footed. The authors found that PKCα's membrane translocation mimics—in both space and time—the full range of the cellular Ca2+ signals. Just fractions of a second after a Ca2+ burst, PKCα was found at the membrane, where it lingered either for mere milliseconds or for longer stretches of several seconds. The short-lived membrane residence solely depended on cytosolic Ca2+. The more intimate interactions required PKCα's binding to the membrane lipid diacylglycerol (DAG). Since this binding is required for full activation of the kinase, the authors suspect that the shorter interactions might not necessarily lead to downstream signaling events. Copies of PKCα that encounter Ca2+ in the center of the cell are unlikely ever to make it to the plasma membrane, as the Ca2+-PKCα complex is short lived. The authors thus suggest that PKCα activation depends solely on sub–plasma membrane Ca2+ signals. Perinuclear signals probably trigger an entirely different set of downstream events—perhaps via calmodulin, which has many cytoplasmic substrates.

Cited by 0Open access

Brain Decodes Deep Nets

Huzheng Yang, James C. Gee, Jianbo Shi · arXiv (Cornell University) · 2023

We developed a tool for visualizing and analyzing large pre-trained vision models by mapping them onto the brain, thus exposing their hidden inside. Our innovation arises from a surprising usage of brain encoding: predicting brain fMRI measurements in response to images. We report two findings. First, explicit mapping between the brain and deep-network features across dimensions of space, layers, scales, and channels is crucial. This mapping method, FactorTopy, is plug-and-play for any deep-network; with it, one can paint a picture of the network onto the brain (literally!). Second, our visualization shows how different training methods matter: they lead to remarkable differences in hierarchical organization and scaling behavior, growing with more data or network capacity. It also provides insight into fine-tuning: how pre-trained models change when adapting to small datasets. We found brain-like hierarchically organized network suffer less from catastrophic forgetting after fine-tuned.

Cited by 0Open access

Brain Decodes Deep Nets

Huzheng Yang, James C. Gee, Jianbo Shi · 2024

We developed a tool for visualizing and analyzing large pre-trained vision models by mapping them onto the brain, thus exposing their hidden inside. Our innovation arises from a surprising usage of brain encoding: predicting brain fMRI measurements in response to images. We report two findings. First, explicit mapping between the brain and deep-network features across dimensions of space, layers, scales, and channels is crucial. This mapping method, Fac-torTopy, is plug-and-play for any deep-network; with it, one can paint a picture of the network onto the brain (liter-ally!). Second, our visualization shows how different training methods matter: they lead to remarkable differences in hierarchical organization and scaling behavior, growing with more data or network capacity. It also provides in-sight into fine-tuning: how pre-trained models change when adapting to small datasets. We found brain-like hierarchi-cally organized network suffer less from catastrophic for-getting after fine-tuned.

Cited by 9

Genomics decodes drug action

Alan H. Fairlamb · RePEc: Research Papers in Economics

Drugs used to treat African sleeping sickness are outdated, and how they enter cells and exert biological effects is poorly understood. A genome-wide study using RNA interference provides valuable insight. See Letter p.232

Cited by 0

Stroke disconnectome decodes reading networks

Stephanie J. Forkel, Loïc Labache, Parashkev Nachev et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2022

Abstract Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict the typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.

Cited by 1Open access

Stroke disconnectome decodes reading networks

Stephanie J. Forkel, Loïc Labache, Parashkev Nachev et al. · Research Square · 2022

Abstract Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict the typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left inferior parietal and the three temporal and occipital gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.

Cited by 1Open access