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Brain Imaging

Brain Imaging

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Related Experiment Video

Updated: Mar 7, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

A Principle for Describing and Verifying Brain Mechanisms Using Ongoing Activity.

David Eriksson¹

¹Center for Neuroscience, Albert Ludwig University of FreiburgFreiburg, Germany; BrainLinks-BrainTools, Albert Ludwig University of FreiburgFreiburg, Germany.

Frontiers in Neural Circuits

|February 9, 2017

Summary

Understanding brain mechanisms requires separating specific neuronal inputs from background activity. This study proposes methods to isolate and inhibit specific inputs, enabling better analysis of brain function and its impact on cognition.

Keywords:

brain hypothesis brain mechanisms genesis of neuronal activity neural input ongoing activity spontaneous activity

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Last Updated: Mar 7, 2026

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

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Published on: December 5, 2014

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Published on: June 30, 2018

Large-scale Recording of Neurons by Movable Silicon Probes in Behaving Rodents

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Published on: March 4, 2012

Area of Science:

Neuroscience
Computational Neuroscience
Electrophysiology

Background:

Neurons receive complex, multi-sourced inputs, making it challenging to isolate specific mechanisms.
Current models often simplify brain activity by lumping diverse inputs into a single 'background' category.

Purpose of the Study:

To propose a framework for experimentally distinguishing specific neuronal inputs from background activity in vivo.
To provide guidelines for controlling electrophysiological experiments to accurately estimate these inputs on a single-trial level.

Main Methods:

Recording specific neuronal input.
Inhibiting specific neuronal input.
Tailoring specific input measurements to match inhibition parameters.

Main Results:

Demonstrates the necessity of strong, fast inhibition for accurate input separation.
Highlights the importance of precisely measuring specific inputs in conjunction with inhibition.
Provides a method to quantify specific and background inputs on a single-trial basis.

Conclusions:

Accurate control of electrophysiological experiments is crucial for verifying brain mechanisms.
This approach facilitates the study of how spontaneous and ongoing brain activity integrates to govern cognition and behavior.