Object categorization during ambiguous sensory stimulation generally depends on the activity of extrastriate sensory areas as well as top-down information. Both reflect internal representations of prototypical object knowledge against which incoming sensory information is compared. However, besides these general mechanisms, individuals might differ in their readiness to impose internal representations onto incoming ambiguous information. These individual differences might be based on what was referred to as "Schema Instantiation Threshold" (SIT; Lewicki et al. [1992]: Am Pshycol 47:796-801), defining a continuum from very rapid (low threshold) to a rather controlled application of internal representations (high threshold). We collected fMRI scans while subjects with low SIT ("internal encoders") and subjects with high SIT ("external encoders") made gender categorizations of ambiguous facial images. Internal encoders made faster gender decisions during high sensory ambiguity, showed higher fusiform activity, and had faster BOLD responses in the fusiform (FFA) and occipital face area (OFA) indicating a faster and stronger application of face-gender representations due to a low SIT threshold. External encoders made slower gender decisions and showed increased medial frontal activity, indicating a more controlled strategy during gender categorizations and increased decisional uncertainties. Internal encoders showed higher functional connectivity of the orbito-frontal cortex (OFC) to seed activity in the FFA which might indicate both more readily generated predictive classificatory guesses and the subjective impressions of accurate classifications. Taken together, an "internal encoding style" is characterized by the fast, unsupervised and unverified application of primary object representations, whereas the opposite seems evident for subjects with an "external encoding style".
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http://dx.doi.org/10.1002/hbm.21144 | DOI Listing |
Phys Rev Lett
December 2024
University of Science and Technology of China, CAS Key Laboratory of Quantum Information, Hefei 230026, People's Republic of China.
The quantum circuit model is the most widely used theoretical model for quantum computing. Therefore, determining whether two quantum circuits whose internal structures cannot be seen have the same functionality will be a fundamental problem in future quantum industries, which however turns out to be QMA-hard. Here, based on a photonic system we experimentally implement the equivalence checking of two unknown quantum circuits with real unitary matrix representations, where quantum nonlocality plays a key role and allows us to measure an "average-case" distance between the two quantum circuits very efficiently.
View Article and Find Full Text PDFJACC Adv
February 2025
Department of Medicine, SUNY Upstate Medical University, Syracuse, New York, USA.
Background: There continue to be significant gender disparities with women being underrepresented in medical professional society leadership roles, despite more women entering medical school.
Objectives: This study aimed to elucidate the pattern of representation of women in medical society presidential positions in the United States and Europe over the past 50 years. It further examines gender-related trends in the field of cardiology and among medical trainees.
Animals survive in dynamic environments changing at arbitrary timescales, but such data distribution shifts are a challenge to neural networks. To adapt to change, neural systems may change a large number of parameters, which is a slow process involving forgetting past information. In contrast, animals leverage distribution changes to segment their stream of experience into tasks and associate them with internal task abstracts.
View Article and Find Full Text PDFDo machines and humans process language in similar ways? Recent research has hinted at the affirmative, showing that human neural activity can be effectively predicted using the internal representations of language models (LMs). Although such results are thought to reflect shared computational principles between LMs and human brains, there are also clear differences in how LMs and humans represent and use language. In this work, we systematically explore the divergences between human and machine language processing by examining the differences between LM representations and human brain responses to language as measured by Magnetoencephalography (MEG) across two datasets in which subjects read and listened to narrative stories.
View Article and Find Full Text PDFESMO Open
January 2025
Medical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Rozzano (Milan), Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, (Milan), Italy. Electronic address:
Background: The treatment of advanced hepatocellular carcinoma (HCC) with atezolizumab and bevacizumab led to significant improvements in overall survival (OS), progression-free survival (PFS), and response rate compared with sorafenib in the phase III IMbrave150 trial. The etiology of background liver disease can differ between Eastern and Western populations, leading to a potentially different impact of systemic therapies; therefore the unequal representation must be considered in the IMbrave150 trial. To provide further data on the safety and effectiveness of atezolizumab and bevacizumab, the phase IIIb AMETHISTA (Atezolizumab plus bevacizumab in METastatic HCC Italian Safety TriAl) ran in a Western (Italian) population of patients with advanced HCC.
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