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

Single-Pixel Tactile Skin via compressive sampling.

Communications engineering·2026

Same author

Artificial intelligence for adaptive neuromodulation in drug-resistant epilepsy.

Epilepsia·2026

Same author

Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method.

ArXiv·2026

Same author

TIGIT expression dictates the immunosuppressive reprogramming of myeloid cells in glioblastoma.

Neuro-oncology·2026

Same author

Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity.

... International Conference on Learning Representations·2026

Same author

Embodied Sensorimotor Control: Computational Modeling of the Neural Control of Movement.

Annual review of biomedical engineering·2026

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: Apr 16, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

A systematic approach to selecting task relevant neurons.

Kevin Kahn¹, Shreya Saxena², Emad Eskandar³

¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Journal of Neuroscience Methods

|March 10, 2015

Summary

This summary is machine-generated.

A new method called model deterioration excluding stimulus (MDES) test improves neuron selection for neuroscience research. This approach accurately identifies task-related neurons by considering intrinsic dynamics, enhancing decoding accuracy and neurophysiological results.

Keywords:

Model based Neuron selection Point processes Task-related neurons

More Related Videos

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

Related Experiment Videos

Last Updated: Apr 16, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

Area of Science:

Neuroscience
Computational Neuroscience
Data Analysis

Background:

Selecting task-related neurons is crucial for accurate data analysis in neuroscience.
Traditional methods relying solely on firing rates may overlook temporal dynamics and introduce bias.
Including irrelevant neurons can degrade decoding accuracy and confound results.

Purpose of the Study:

To introduce a systematic approach for selecting task-related neurons.
To account for intrinsic neuronal dynamics that influence firing rates.
To improve the reliability of neurophysiological data analysis.

Main Methods:

Proposes the model deterioration excluding stimulus (MDES) test, a likelihood ratio test.
MDES captures stimulus contribution to spiking activity while considering intrinsic dynamics.
Evaluated through simulations, decoding tasks, and neurophysiological examples.

Main Results:

MDES rankings closely align with ideal rankings in simulations, unlike firing rate methods.
Achieved 95% decoding accuracy with 8 MDES-ranked neurons versus 12 firing-rate ranked neurons.
MDES identified oscillatory modulations missed by firing rate selection in neurophysiological data.

Conclusions:

Accounting for intrinsic dynamics is vital for effective task-related neuron selection.
The MDES approach successfully selects neurons encoding task information, unaffected by intrinsic dynamics.
MDES offers a more robust method for neuron selection compared to firing rate-based approaches.