Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Scientific Method

The Scientific Method

Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion.

The Scientific Method

The Scientific Method

The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...

The Scientific Method

The Scientific Method

Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.

Scientific Laws and Theories

Scientific Laws and Theories

Scientific Laws

The Scientific Method in Nursing Process

The Scientific Method in Nursing Process

The scientific method provides the foundation for any research. It is the most reliable and objective of all forms of gaining knowledge and guides in applying research-based evidence in practice and conducting future research.
When using research findings to change practice, one must understand the process used to guide a study. The scientific method is a systematic, step-by-step process that supports the data's validity, reliability, and generalizability. As a result, findings can be...

Scientific Nature of Social Psychology

Scientific Nature of Social Psychology

Social psychology is a scientific discipline dedicated to understanding how individuals think, feel, and behave in social contexts. Unlike common sense, which relies on anecdotal experiences and intuition, social psychology employs systematic research and empirical methods to ensure objectivity and reliability. This distinction is fundamental in distinguishing scientifically supported findings from mere speculation.Four fundamental scientific values guide a structured approach to research in...

You might also read

Related Articles

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

Sort by

Same author

Computational Modelling of Novelty Detection in the Mismatch Negativity Protocols and Its Impairments in Schizophrenia.

The European journal of neuroscience·2026

Same author

A biologically plausible decision-making model based on interacting neural populations.

PloS one·2026

Same author

Convergent transcriptomic and connectomic controllers of information integration and its anaesthetic breakdown across mammalian brains.

Nature human behaviour·2026

Same author

Modeling and simulation of neocortical micro- and mesocircuitry (Part I, anatomy).

eLife·2026

Same author

Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem.

PLoS computational biology·2025

Same author

Convergent information flows explain recurring firing patterns in cerebral cortex.

Nature neuroscience·2025

Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026

Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026

Same journal

Image space opens up for visual neuroscience.

Neuron·2026

Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026

Same journal

Microglial fitness in moderation: Tuning TREM2 signaling through Ptpn6.

Neuron·2026

Same journal

Human astrocytes keep time with inflammation.

Neuron·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 24, 2026

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay

Published on: June 17, 2010

The Scientific Case for Brain Simulations.

Gaute T Einevoll¹, Alain Destexhe², Markus Diesmann³

¹Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway.

|May 24, 2019

Summary

This summary is machine-generated.

Large-scale brain simulations are crucial for understanding neural networks. Developing multimodal brain simulators will bridge neuron and system levels by predicting various biological signals.

Keywords:

brain simulation model network neuron simulation simulator

More Related Videos

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Related Experiment Videos

Last Updated: Jan 24, 2026

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay

Published on: June 17, 2010

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Multimodal 3D Printing of Phantoms to Simulate Biological Tissue

Published on: January 11, 2020

Simulator Training for Endovascular Neurosurgery

Simulator Training for Endovascular Neurosurgery

Published on: May 6, 2020

Area of Science:

Neuroscience
Computational Neuroscience
Brain Simulation

Background:

Large-scale neural network simulations are central to major brain research initiatives like the European Union's Human Brain Project (HBP).
Bridging the gap between individual neuron behavior and system-level brain function remains a significant challenge in neuroscience.

Purpose of the Study:

To advocate for the necessity of large-scale neural network simulations in brain research.
To propose the development of a suite of brain simulators that incorporate neuron models with varying levels of biological detail.
To emphasize the importance of multimodal simulation outputs for experimental validation.

Main Methods:

Argumentative approach based on the current state of brain research and simulation capabilities.
Conceptual framework for developing diverse brain simulators.
Defining simulation requirements for experimental comparison.

Main Results:

Simulations are indispensable for bridging the multi-scale complexities of the brain, from single neurons to entire systems.
A set of brain simulators, each employing neuron models at different biological detail levels, should be developed.
Multimodal simulation predictions, including action potentials, electric, magnetic, and optical signals, are essential for systematic refinement against experimental data.

Conclusions:

Large-scale neural simulations are vital for advancing our understanding of brain function across multiple scales.
Developing a diverse set of brain simulators is necessary to accommodate different research questions and experimental data.
Multimodal simulation capabilities will significantly enhance the predictive power and experimental validation of brain models.