98%
921
2 minutes
20
A fundamental property of sensory systems is their ability to detect novel stimuli in the ambient environment. The auditory brain contains neurons that decrease their response to repetitive sounds but increase their firing rate to novel or deviant stimuli; the difference between both responses is known as stimulus-specific adaptation or neuronal mismatch (nMM). Here, we tested the effect of microiontophoretic applications of ACh on the neuronal responses in the auditory cortex (AC) of anesthetized rats during an auditory oddball paradigm, including cascade controls. Results indicate that ACh modulates the nMM, affecting prediction error responses but not repetition suppression, and this effect is manifested predominantly in infragranular cortical layers. The differential effect of ACh on responses to standards, relative to deviants (in terms of averages and variances), was consistent with the representational sharpening that accompanies an increase in the precision of prediction errors. These findings suggest that ACh plays an important role in modulating prediction error signaling in the AC and gating the access of these signals to higher cognitive levels.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10942646 | PMC |
http://dx.doi.org/10.7554/eLife.91475 | DOI Listing |
Nat Comput Sci
September 2025
Department of Chemical Engineering, Tsinghua University, Beijing, China.
With approximately 90% of industrial reactions occurring on surfaces, the role of heterogeneous catalysts is paramount. Currently, accurate surface exposure prediction is vital for heterogeneous catalyst design, but it is hindered by the high costs of experimental and computational methods. Here we introduce a foundation force-field-based model for predicting surface exposure and synthesizability (SurFF) across intermetallic crystals, which are essential materials for heterogeneous catalysts.
View Article and Find Full Text PDFMed Eng Phys
October 2025
Ansys Inc., Houston, TX 77094, USA.
Introduction: Benchtop and animal models have traditionally been used to study the propagation of Onyx Liquid Embolic Systems (Onyx) used in the treatment of brain arteriovenous malformations (AVM). However, such models are costly, do not provide sufficient detail to elucidate how variations in Onyx viscosity alter flow dynamics, and rely on some trial-and-error, resulting in elongated timelines for product development.
Objectives: The goal of this study was to leverage Computational Fluid Dynamics (CFD) simulations to predict the behavior of different Onyx formulations.
Eur J Pharm Biopharm
September 2025
Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing 210009, China. Electronic address:
Prodrugs with enzymatic activation requirements, such as the weakly basic biopharmaceutical classification system (BCS) class IV compound abiraterone acetate (ABA), face considerable bioequivalence (BE) risks owing to their pH-dependent solubility, food effects, and variable intestinal hydrolysis. This study established clinically relevant dissolution specifications for ABA using biorelevant dissolution and physiologically based biopharmaceutics modelling (PBBM). Two dissolution methods, two-stage (gastrointestinal transfer simulation) and single-phase (biorelevant media), were evaluated under fasted and fed conditions.
View Article and Find Full Text PDFFood Chem
September 2025
Group of Chemical Analysis and Chemometrics, Department of Chemistry, Federal University of Paraná, P.O. Box: 19032, Curitiba, PR 81531-980, Brazil. Electronic address:
Yerba mate, a key crop in South America, is prized for its pleasant taste and high organoleptic quality, often linked to lower branch content. To quantify branch content and authenticate high-quality samples (less than 30 % m/m branch content), a Chemometrics-assisted Color Histogram-based Analytical System (CACHAS) was employed. Using Hue-Saturation-Value (HSV) histograms, Partial Least Squares (PLS) demonstrated excellent predictive performance, achieving a root mean square error (RMSEP) of 4.
View Article and Find Full Text PDFAppl Ergon
September 2025
NHS Education for Scotland, Edinburgh, United Kingdom; Staffordshire University, Stafford, United Kingdom; University of Glasgow, Glasgow, United Kingdom. Electronic address:
Purpose: To share key learnings from the assessment of a COVID-19 vaccination system in Scotland using a Human Reliability Analysis (HRA) approach.
Method: Project data were collected in February 2021 in NHS Ayrshire and Arran (NHSAA) - the regional health authority - using document analysis (Service Delivery Manual, 2020), observations (2 site visits), and workshops (n = 8, with 26 participants). The Systematic Human Error Reduction and Prediction Approach (SHERPA) is a framework for human reliability analysis that can be used as part of a safety assessment or safety case to determine whether the system is 'safe enough' and provide recommendations to improve safety by mitigating error potential.