In a sentence like Who does the artist think chased the chef?, the who at the beginning depends on the last bit of the sentence, chased the chef. This is an instance of a long-distance dependency. What is the nature of the cognitive process that allows speakers to produce sentences that include distant elements that form dependencies? In four experiments, speakers described drawings that elicited long-distance dependencies. Critically, speakers were sometimes primed to produce a that in sentences where that was ungrammatical due to a grammatical constraint known as the that-trace constraint (e.g.,*Who does the artist think that chased the chef). Results showed that, when primed to say an ungrammatical that, speakers were slower to start to speak. Because the that-trace constraint applies selectively to certain configurations of long-distance dependencies, this suggests that the grammatical details of the long-distance dependency are already planned before speakers start to speak the sentences involving long-distance dependencies. I propose a formal model that explains how speakers plan long-distance dependencies in advance of speaking them while also managing the cognitive pressure to speak sentences incrementally.
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http://dx.doi.org/10.1016/j.cogpsych.2021.101411 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Electronics Sciences and Technology Division, United States Naval Research Laboratory, Washington, DC 20375.
This study presents the direct measurement of proton transport along filamentous , or cable bacteria. Cable bacteria are filamentous multicellular microorganisms that have garnered much interest due to their ability to serve as electrical conduits, transferring electrons over several millimeters. Our results indicate that cable bacteria can also function as protonic conduits because they contain proton wires that transport protons at distances >100 µm.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China.
Due to its non-contact characteristics, remote photoplethysmography (rPPG) has attracted widespread attention in recent years, and has been widely applied for remote physiological measurements. However, most of the existing rPPG models are unable to estimate multiple physiological signals simultaneously, and the performance of the limited available multi-task models is also restricted due to their single-model architectures. To address the above problems, this study proposes MultiPhys, adopting a heterogeneous network fusion approach for its development.
View Article and Find Full Text PDFJ Biomech Eng
January 2025
Department of Mechanical Engineering, Vanderbilt University, 2201 West End Avenue, Nashville, TN, 37235.
Achilles tendon overuse injuries are common for long-distance runners. Ankle exos (exoskeletons and exosuits) are wearable devices that can reduce Achilles tendon loading and could potentially aid in the rehabilitation or prevention of these injuries by helping to mitigate and control tissue loading. However, most ankle exos are confined to controlled lab testing and are not practical to use in real-world running.
View Article and Find Full Text PDFElife
January 2025
Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea.
Recent experimental studies showed that electrically coupled neural networks like in mammalian inferior olive nucleus generate synchronized rhythmic activity by the subthreshold sinusoidal-like oscillations of the membrane voltage. Understanding the basic mechanism and its implication of such phenomena in the nervous system bears fundamental importance and requires preemptively the connectome information of a given nervous system. Inspired by these necessities of developing a theoretical and computational model to this end and, however, in the absence of connectome information for the inferior olive nucleus, here we investigated interference phenomena of the subthreshold oscillations in the reference system for which the structural anatomical connectome was completely known recently.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Computer and Artificial Intelligence, Wuhan Textile Unversity, Wuhan 430200, China.
Currently, fabric defect detection methods predominantly rely on CNN models. However, due to the inherent limitations of CNNs, such models struggle to capture long-distance dependencies in images and fail to accurately detect complex defect features. While Transformers excel at modeling long-range dependencies, their quadratic computational complexity poses significant challenges.
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