A one-trial learning task, where chicks learn that a bead of a particular shape and/or colour has a bitter taste (because it has been coated in 100% methyl anthranilate, MeA) and subsequently avoids it on test, has been widely used by research groups across the world. However, there are some differences in the results reported by different research laboratories. One important difference is found when chicks are trained with a diluted bitter taste on the bead (10 or 20% MeA); memory is not consolidated and fades, lasting for different times. At Monash and La Trobe Universities, memory lasts for 30 min but at the Open University (OU), memory lasts for 4-6h before fading. Differences in protocol that may explain this apparent discrepancy are whether the chicks have seen the bead before (novelty) and whether the colour or the shape of the bead is an important feature. In this review, we discuss these and other factors that may contribute to the differences in the characteristics of memory processing at Monash and at the OU, such as chick strain, hatchery or laboratory incubated chicks, age at training. It is clear that there is a difference between passive avoidance and discriminative avoidance protocols and this may explain the differences in duration of the memory with weakly reinforced learning. Is the OU task a more salient experience because of the novelty of the bead and therefore a 'stronger' learning experience? The different protocols may allow different questions to be addressed.
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http://dx.doi.org/10.1016/j.brainresbull.2008.02.032 | DOI Listing |
Psychol Trauma
January 2025
Department of Medicine, Section of General Internal Medicine, University of Chicago.
Objective: From the beginning of the COVID-19 pandemic, there has been a proliferation of anti-Asian racism. In addition to being personal targets of racism, members of the Asian American community have also been vicariously exposed to repeated news and social media stories about anti-Asian racism. Emerging research suggests that vicarious exposure to racism during the pandemic is associated with decreased well-being, although mechanisms of action are not yet clear.
View Article and Find Full Text PDFStigma Health
November 2024
Department of Health Law, Policy & Management, Boston University School of Public Health.
"Religious conscience" or "healthcare denial" policies allow healthcare providers and institutions to refuse to provide services in the name of religious freedom. Denial policies are a form of structural stigma that could impede access to healthcare for sexual and gender minority (SGM) populations, particularly SGM young adults. This study describes SGM university students' response to policies permitting healthcare providers to deny care based on their religious beliefs.
View Article and Find Full Text PDFPatient Educ Couns
January 2025
Department of Communication Studies, San Francisco State University, San Francisco, USA; Medical Cultures Lab, University of California, San Francisco, USA.
Objectives: Complementary and Integrative Health (CIH) is recognized as a set of modalities to bolster health and well-being often outside of standard biomedical practice. How people discuss CIH with their biomedical providers is a microcosm for health communication more generally. In this Discussion, we propose a revision of the Street et al.
View Article and Find Full Text PDFGenes (Basel)
January 2025
Department of Animal Science and Food Processing, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500 Prague, Czech Republic.
: The domestication of the grey wolf () and subsequent creation of modern dog breeds have significantly shaped the genetic landscape of domestic canines. This study investigates the genomic effects of hybridization and breeding management practices in two hybrid wolfdog breeds: the Czechoslovakian Wolfdog (CSW) and the Saarloos Wolfdog (SAW). : We analyzed the genomes of 46 CSWs and 20 SAWs, comparing them to 12 German Shepherds (GSHs) and 20 wolves (WLFs), which served as their ancestral populations approximately 70-90 years ago.
View Article and Find Full Text PDFComput Biol Med
January 2025
Institute of the Cervix, Paris, France. Electronic address:
Background: The current cervical cancer screening and diagnosis have limitations due to their subjectivity and lack of reproducibility. We describe the development of a deep learning (DL)-based diagnostic risk prediction model and evaluate its potential for clinical impact.
Method: We developed and internally validated a DL model which accommodates both clinical data and colposcopy images in predicting the patients CIN2+ status using a retrospective cohort of 6356 cases of LEEP-conization/cone-biopsy (gold-standard diagnosis) following an abnormal screening result.
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