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

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

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

Sort by

Same author

Learning using switching synaptic plasticity rules.

bioRxiv : the preprint server for biology·2026

Same author

Neuropixels Opto: combining high-resolution electrophysiology and optogenetics.

Nature methods·2026

Same author

Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function.

bioRxiv : the preprint server for biology·2026

Same author

Functional reorganization of motor cortex connectivity during learning.

bioRxiv : the preprint server for biology·2026

Same author

Protocol for testing global neuronal workspace and integrated information theories of consciousness in non-human primates and mice.

PloS one·2026

Same author

Identifying stochastic dynamics from non-sequential data (DyNoSeD).

Chaos (Woodbury, N.Y.)·2026

Search research articles

Related Experiment Video

Updated: Jun 9, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits.

Kael Dai¹, Sergey L Gratiy¹, Yazan N Billeh¹

¹Allen Institute, Seattle, Washington, United States of America.

Plos Computational Biology

|November 30, 2020

Summary

The Brain Modeling ToolKit (BMTK) is a new open-source software suite that integrates neuroscience data into multiscale models. It simplifies complex simulations, making computational neuroscience more accessible for discovery.

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Jun 9, 2026

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Published on: September 27, 2024

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Neuroscience research generates vast datasets, posing challenges for theoretical and modeling approaches.
Integrating large-scale experimental data into predictive computational frameworks requires advanced software solutions.

Purpose of the Study:

To introduce the Brain Modeling ToolKit (BMTK), a software suite designed for building and simulating multiscale brain models.
To facilitate the integration of diverse neuroscience data into realistic computational models across multiple levels of resolution.

Main Methods:

The BMTK software suite supports building models and performing simulations at various resolutions: biophysically detailed multi-compartmental, point-neuron, and population-statistical.
It leverages the SONATA file format and integrates with established simulators like NEURON and NEST.
The toolkit enables sophisticated simulations with minimal coding, reducing the barrier for new users.

Main Results:

Demonstrated successful application of BMTK for large-scale simulations of a cortical area.
BMTK provides a consistent user experience across different modeling resolutions.
The software lowers entry barriers for researchers new to computational modeling.

Conclusions:

BMTK is a valuable open-source resource for the neuroscience community, supporting modeling-based discovery.
The toolkit enhances the ability to create predictive quantitative frameworks from massive neuroscience datasets.
BMTK facilitates the development of realistic, multiscale brain models for advanced research.