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

You might also read

Related Articles

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

Sort by

Same author

A Relative Authorship Index: A New Metric for Evaluating Individual Contribution in Scientific Research.

The European journal of neuroscience·2026

Same author

History bias and its perturbation of the stimulus representation in the macaque prefrontal cortex.

The Journal of physiology·2026

Same author

Efficiency and robustness in three cortical areas: frontal pole cortex, dorsolateral prefrontal cortex and orbitofrontal cortex.

Neuroscience·2025

Same author

Endogenous and exogenous attentional interplay through mixed prefrontal cortex resources.

Current biology : CB·2025

Same author

Out of the single-neuron straitjacket: Neurons within assemblies change selectivity and their reconfiguration underlies dynamic coding.

The Journal of physiology·2025

Same author

Cell types implement multiple coding schemes in distinct prefrontal cortex areas during goal-directed behavior.

Progress in neurobiology·2025

Same journal

Detection of cochlear microphonic for differential diagnosis between auditory neuropathy mice and noise-induced sensorineural hearing loss mice.

Journal of neuroscience methods·2026

Same journal

Assessment metrics for pain control in rats: A methodological commentary.

Journal of neuroscience methods·2026

Same journal

Infant EEG preprocessing pipelines: A capability framework and current gaps in practice.

Journal of neuroscience methods·2026

Same journal

Methods for measuring neural activity during voluntary wheel running.

Journal of neuroscience methods·2026

Same journal

Serotype-dependent differences in AAV cellular transduction rates in the hypothalamus of Arctic ground squirrels.

Journal of neuroscience methods·2026

Same journal

Rapid generation of human sensory neurons from iPSC for modeling of peripheral neuropathies.

Journal of neuroscience methods·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Dec 20, 2025

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

MatOFF: a tool for analyzing behaviorally complex neurophysiological experiments.

Aldo Genovesio¹, Andrew R Mitz

¹Laboratory of Systems Neuroscience, National Institute of Mental Health, Bldg. 49/Rm B1EE17 MSC 4401, Bethesda, MD 20892-4401, USA.

Journal of Neuroscience Methods

|July 3, 2007

Summary

This summary is machine-generated.

MatOFF is a new MATLAB-based software tool designed to analyze complex neurophysiological data from sophisticated behavioral experiments. It offers an integrated environment for efficient data processing and analysis, overcoming limitations of older software.

More Related Videos

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

Cortical Source Analysis of High-Density EEG Recordings in Children

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Related Experiment Videos

Last Updated: Dec 20, 2025

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Investigating the Function of Deep Cortical and Subcortical Structures Using Stereotactic Electroencephalography: Lessons from the Anterior Cingulate Cortex

Published on: April 15, 2015

Cortical Source Analysis of High-Density EEG Recordings in Children

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

Area of Science:

Neuroscience
Computational Neuroscience
Behavioral Science

Background:

Traditional operant conditioning methods in neurophysiology have evolved into complex behavioral paradigms.
Existing general-purpose software struggles to analyze neurophysiological data from these advanced experiments.
Custom software development for each experiment class presents significant drawbacks.

Purpose of the Study:

To introduce MatOFF, a general-purpose software tool for behavioral and electrophysiological studies.
To address the challenge of processing neurophysiological data from complex behaviors.
To provide an integrated environment for sophisticated data analysis requirements.

Main Methods:

MatOFF is developed using the MATLAB programming language.
It integrates MATLAB scripting within an event search engine, isolated in a programming sandbox.
Scripting results are stored in parallel with raw data for subsequent analysis and display.

Main Results:

MatOFF provides a powerful and unique solution for handling complex analysis requirements.
It functions as an integrated environment, unlike loose collections of tools or post-processing steps.
An example demonstrates MatOFF's ability to efficiently analyze complex experiments and mine neurophysiological data.

Conclusions:

MatOFF is a versatile and efficient tool for processing neurophysiological data in complex behavioral studies.
Its integrated design and MATLAB scripting capabilities offer significant advantages over existing solutions.
The software facilitates effective analysis and data mining in advanced neurophysiological research.