Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.1K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

115
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
115
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

419
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
419
Introduction to Innate and Adaptive Immunity01:21

Introduction to Innate and Adaptive Immunity

3.7K
The human immune system is a complex defense mechanism that protects the body from harmful pathogens and foreign substances. It comprises two crucial components: innate and adaptive immunity.
Innate immunity is the body's natural, nonspecific defense system that acts quickly to protect against pathogens. It incorporates physical barriers like skin and mucous membranes and cellular elements such as phagocytes and natural killer cells. This part of our immune system provides an immediate,...
3.7K
Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Lost in translation-what is translational neuroscience research?

Brain communications·2026
Same author

ILAE-YES global webinar series: Integrating clinical and basic science in epilepsy research.

Epilepsia open·2026
Same author

Combining Stimulation Protocols to Probe Memory Consolidation-Commentary on Hausdorf et al. 2025.

The European journal of neuroscience·2026
Same author

Dynamic Interplay Between Wake Slow Waves and Epileptiform Discharges in the Epileptogenic Zone.

Neurology·2025
Same author

Mechanistic insights into the interaction between epilepsy and sleep.

Nature reviews. Neurology·2025
Same author

Sleep on it!

Brain communications·2025
Same journal

Value of synaptic proteins as biomarkers in amyotrophic lateral sclerosis.

Brain communications·2026
Same journal

Inflammatory alterations mediate tau-associated neurodegeneration.

Brain communications·2026
Same journal

Beyond motor neurons: peripheral TDP-43 pathology in skeletal muscle and intramuscular nerves in amyotrophic lateral sclerosis.

Brain communications·2026
Same journal

Epilepsy and exercise: a narrative review on the crucial role of neurosteroids in modulating GABAergic neurotransmission.

Brain communications·2026
Same journal

Thalamocortical seizure onset patterns in drug-resistant focal epilepsy.

Brain communications·2026
Same journal

Evolutionary implications of <i>NOTCH2NLC</i> mutations: brain structural changes in neuronal intranuclear inclusion disease revealed by comprehensive morphometry.

Brain communications·2026
See all related articles

Related Experiment Video

Updated: Jun 5, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K

Could AI safeguard us from AI?

Laurent Sheybani1

  • 1London, UK.

Brain Communications
|December 16, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) presents dual risks and solutions for scientific research statistical reliability. The European Union AI Act, effective summer 2024, aims to regulate AI

More Related Videos

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

7.8K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

26.7K

Related Experiment Videos

Last Updated: Jun 5, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses
05:21

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

7.8K
One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

26.7K

Area of Science:

  • Integrative science and technology policy
  • Research methodology and statistical analysis
  • Artificial intelligence ethics and governance

Background:

  • The European Union AI Act, enacted in summer 2024, introduces a regulatory framework for artificial intelligence (AI) technologies.
  • Scientific research increasingly relies on AI tools, raising concerns about their impact on statistical reliability and research integrity.
  • Associate Editor Laurent Sheybani explores the multifaceted implications of AI within the scientific research landscape.

Discussion:

  • AI algorithms can introduce biases or errors, potentially compromising the statistical validity of research findings.
  • Conversely, AI offers advanced analytical capabilities that can enhance data processing, pattern recognition, and predictive modeling in research.
  • The EU AI Act's provisions may influence the development and deployment of AI tools in scientific contexts, necessitating careful consideration of compliance and ethical use.

Key Insights:

  • AI poses a significant challenge to maintaining statistical reliability in scientific research due to potential algorithmic flaws.
  • AI also presents opportunities to improve research efficiency and analytical depth, thereby bolstering statistical power and insights.
  • Balancing AI innovation with robust regulatory oversight is crucial for ensuring the integrity of scientific endeavors.

Outlook:

  • Future research will need to address the development of AI-driven methods for detecting and mitigating AI-related statistical errors.
  • The implementation of the EU AI Act will likely shape the trajectory of AI adoption in scientific research, emphasizing trustworthy AI systems.
  • Continued dialogue between AI developers, researchers, and policymakers is essential for navigating the evolving relationship between AI and scientific reliability.