A study shows that circadian glucocorticoid oscillations have dual roles in dendritic spine plasticity. Glucocorticoids control spine formation and elimination through distinct mechanisms, which together are important for motor learning and maintenance.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816516PMC
http://dx.doi.org/10.1038/nn.3400DOI Listing

Publication Analysis

Top Keywords

learning deal
4
deal life's
4
life's downs
4
downs study
4
study circadian
4
circadian glucocorticoid
4
glucocorticoid oscillations
4
oscillations dual
4
dual roles
4
roles dendritic
4

Similar Publications

Background: It is high time we acknowledged that the IT industry will determine our destiny given its rapid development. The demand to use smartphones and other forms of technology into healthcare is growing in tandem with the population. A great deal has been accomplished because of developments in computer science.

View Article and Find Full Text PDF

Peru is among Latin American countries with the largest Indigenous population, yet ethnical health disparities persist, particularly in the Amazon region which comprises 60% of the national territory. Healthcare models that include Indigenous medicine and traditional healers present an important avenue for addressing such inequalities, as they increase cultural adequacy of services, healthcare access, and acknowledge Indigenous Rights for their perspectives to be represented in public healthcare. Understanding the underlying epistemologies of Indigenous medicine is a prerequisite for this purpose.

View Article and Find Full Text PDF

Novel deep reinforcement learning based collision avoidance approach for path planning of robots in unknown environment.

PLoS One

January 2025

Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Diriyah, Riyadh, Saudi Arabia.

Reinforcement learning is a remarkable aspect of the artificial intelligence field with many applications. Reinforcement learning facilitates learning new tasks based on action and reward principles. Motion planning addresses the navigation problem for robots.

View Article and Find Full Text PDF

Secure artificial intelligence at the edge.

Philos Trans A Math Phys Eng Sci

January 2025

Electrical and Computer Engineering Department, UCLA, Los Angeles, CA, USA.

Sensors for the perception of multimodal stimuli-ranging from the five senses humans possess and beyond-have reached an unprecedented level of sophistication and miniaturization, raising the prospect of making man-made large-scale complex systems that can rival nature a reality. Artificial intelligence (AI) at the edge aims to integrate such sensors with real-time cognitive abilities enabled by recent advances in AI. Such AI progress has only been achieved by using massive computing power which, however, would not be available in most distributed systems of interest.

View Article and Find Full Text PDF

Health system resilience is defined as the ability of a system to prepare, manage, and learn from shocks. This study investigates the resilience of the German health system by analysing the system-related factors that supported health care workers, a key building block of the system, during the COVID-19 pandemic. We thematically analysed data from 18 semi-structured interviews with key informants from management, policy and academia, 17 in-depth interviews with health care workers, and 10 focus group discussions with health care workers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!