Results 61 to 70 of about 1,548,183 (362)

Exploring the electrophysiological correlates of the default-mode network with intracerebral EEG

open access: yesFrontiers in Systems Neuroscience, 2010
While functional imaging studies allow for a precise spatial characterization of resting state networks, their neural correlates and thereby their fine-scale temporal dynamics remain elusive.
Karim Jerbi   +16 more
doaj   +1 more source

Sensitivity to the sonority sequencing principle in rats (Rattus norvegicus)

open access: yesScientific Reports, 2023
Albeit diverse, human languages exhibit universal structures. A salient example is the syllable, an important structure of language acquisition. The structure of syllables is determined by the Sonority Sequencing Principle (SSP), a linguistic constraint ...
Chiara Santolin   +3 more
doaj   +1 more source

Blended Cognition [PDF]

open access: yes, 2019
The central concept of this edited volume is "blended cognition", the natural skill of human beings for combining constantly different heuristics during their several task-solving activities.
Müller, Vincent C., Vallverdú, Jordi
core  

Continuity in cognition [PDF]

open access: yes, 2002
Designing for continuous interaction requires designers to consider the way in which human users can perceive and evaluate an artefact’s observable behaviour, in order to make inferences about its state and plan, and execute their own continuous ...
Buehner, M.J., Duke, D., May, J.
core   +1 more source

The immunological interface: dendritic cells as key regulators in metabolic dysfunction‐associated steatotic liver disease

open access: yesFEBS Letters, EarlyView.
Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi   +3 more
wiley   +1 more source

The Neural Correlates of In-group and Self-Face Perception: Is There Overlap for High Identifiers?

open access: yesFrontiers in Human Neuroscience, 2013
Social identity, the part of the self-concept derived from group membership, is a key explanatory construct for a wide variety of behaviors, ranging from organizational commitment to discrimination towards out-groups.
Daan eScheepers   +13 more
doaj   +1 more source

Word contexts enhance the neural representation of individual letters in early visual cortex

open access: yesNature Communications, 2020
Letters are more easily identified when embedded in a word. Here, the authors show that word contexts can enhance letter information in early visual cortex, suggesting that the advantage offered by words occurs already during early perceptual processing.
Micha Heilbron   +4 more
doaj   +1 more source

Tacit Representations and Artificial Intelligence: Hidden Lessons from an Embodied Perspective on Cognition [PDF]

open access: yes, 2016
In this paper, I explore how an embodied perspective on cognition might inform research on artificial intelligence. Many embodied cognition theorists object to the central role that representations play on the traditional view of ...
Spitzer, Elena
core  

Diphthamide synthesis is linked to the eEF2‐client chaperone machinery

open access: yesFEBS Letters, EarlyView.
The diphthamide modification of eukaryotic translation elongation factor 2 (eEF2) is important for accurate protein synthesis. We addressed the potential coordination of de novo eEF2 synthesis with simultaneous or subsequent diphthamide modification. Our work reveals that the co‐chaperones Hgh1 and Cpr7, which are known to support folding of nascent ...
Lars Kaduhr   +4 more
wiley   +1 more source

CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals [PDF]

open access: yesarXiv, 2021
Most previous studies integrate cognitive language processing signals (e.g., eye-tracking or EEG data) into neural models of natural language processing (NLP) just by directly concatenating word embeddings with cognitive features, ignoring the gap between the two modalities (i.e., textual vs. cognitive) and noise in cognitive features.
arxiv  

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