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Related Experiment Video

Updated: Dec 28, 2025

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates

Published on: July 17, 2020

A How-to-Model Guide for Neuroscience.

Gunnar Blohm¹, Konrad P Kording², Paul R Schrater³

¹Centre for Neuroscience Research, Queen's University, Kingston, Ontario K7L 3N6, Canada gunnar.blohm@queensu.ca.

|February 13, 2020

Summary

This summary is machine-generated.

This study outlines a 10-step process for building computational neuroscience models, making the modeling process more transparent and reproducible for researchers. It emphasizes the importance of teaching model construction alongside experimental design.

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Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Computational models are crucial in neuroscience for hypothesis generation, knowledge synthesis, and medical applications.
The process of constructing these models is often not explicitly taught, creating a knowledge gap.

Purpose of the Study:

To provide a practical, 10-step framework for the neuroscience modeling process.
To make the criteria and choices involved in model construction more explicit and replicable.

Main Methods:

Drawing on experiences from the Computational Sensory-Motor Neuroscience (CoSMo) summer school.
Developing a structured, step-by-step guide for building computational models.

Main Results:

A clear, 10-step breakdown of the model construction process is presented.
The framework enhances the explicitness and replicability of neuroscience modeling.

Conclusions:

The neuroscience modeling process warrants dedicated instruction, similar to experimental design.
Explicitly teaching model construction can improve research reproducibility and understanding.