Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

479
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
479
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

423
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
423
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
Phase Diagrams02:39

Phase Diagrams

50.4K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
50.4K

You might also read

Related Articles

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

Sort by
Same author

Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge.

PLOS digital health·2023
Same author

Common neuronal mechanisms underlying tics and hyperactivity.

Cortex; a journal devoted to the study of the nervous system and behavior·2020
Same author

Disinhibition of the Nucleus Accumbens Leads to Macro-Scale Hyperactivity Consisting of Micro-Scale Behavioral Segments Encoded by Striatal Activity.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2019
Same author

Loss of Balance between Striatal Feedforward Inhibition and Corticostriatal Excitation Leads to Tremor.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2018
Same author

Dopaminergic Modulation of Synaptic Integration and Firing Patterns in the Rat Entopeduncular Nucleus.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2017
Same author

Temporal dynamics of saccades explained by a self-paced process.

Scientific reports·2017
Same journal

Translational profiling of Drd2-expressing populations reveals molecular heterogeneity of dentate gyrus mossy cells along the dorsoventral axis.

eNeuro·2026
Same journal

Movement Disorder Patients with Depression have Altered Corticostriatal Alpha-Beta Power Response to Reward and Loss.

eNeuro·2026
Same journal

Ocular speech tracking persists in blindness, but its dynamics and oculo-cerebral connectivity depend on visual status.

eNeuro·2026
Same journal

Emergent multidien cycles from partial circadian synchrony.

eNeuro·2026
Same journal

Adolescent social isolation induces persistent impairments in emotional discrimination and helping behavior.

eNeuro·2026
Same journal

Increased Ih Current Is Associated with Reduced Hippocampal CA1 Excitability in a Mouse Model of Multiple Sclerosis.

eNeuro·2026
See all related articles

Related Experiment Video

Updated: Feb 10, 2026

Production of Membrane-Filtered Phase-Shift Decafluorobutane Nanodroplets from Preformed Microbubbles
07:10

Production of Membrane-Filtered Phase-Shift Decafluorobutane Nanodroplets from Preformed Microbubbles

Published on: March 23, 2021

3.2K

Filter-Based Phase Shifts Distort Neuronal Timing Information.

Dorin Yael1, Jacob J Vecht2, Izhar Bar-Gad1

  • 1The Leslie and Susan Goldschmied (Gonda) Multidisciplinary Brain Research Center, Bar-Ilan University, 52900, Ramat-Gan, Israel.

Eneuro
|May 17, 2018
PubMed
Summary
This summary is machine-generated.

Neurophysiological signal filtering can distort timing information due to phase shifts, impacting data accuracy. This study examines filter-induced phase distortions and offers methods for evaluating and restoring timing information in signals.

Keywords:
filtersneurophysiologyoscillationsphasetimingwaveform

More Related Videos

Visualizing Shifts on Neuron-Glia Circuit with the Calcium Imaging Technique
11:41

Visualizing Shifts on Neuron-Glia Circuit with the Calcium Imaging Technique

Published on: April 8, 2022

5.1K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K

Related Experiment Videos

Last Updated: Feb 10, 2026

Production of Membrane-Filtered Phase-Shift Decafluorobutane Nanodroplets from Preformed Microbubbles
07:10

Production of Membrane-Filtered Phase-Shift Decafluorobutane Nanodroplets from Preformed Microbubbles

Published on: March 23, 2021

3.2K
Visualizing Shifts on Neuron-Glia Circuit with the Calcium Imaging Technique
11:41

Visualizing Shifts on Neuron-Glia Circuit with the Calcium Imaging Technique

Published on: April 8, 2022

5.1K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.7K

Area of Science:

  • Neuroscience
  • Signal Processing
  • Biomedical Engineering

Background:

  • Filters are essential for processing neurophysiological signals, primarily for amplitude modulation.
  • However, filters introduce unintended phase shifts, altering signal timing.
  • These phase shifts disrupt temporal relationships within and between signals.

Purpose of the Study:

  • To investigate the impact of filter-induced phase distortions on neurophysiological signals.
  • To highlight the disruption of timing information caused by filtering.
  • To present methods for evaluating and restoring signal timing.

Main Methods:

  • Analysis of phase shifts introduced by linear phase (LP) and non-linear phase (NLP) filters.
  • Examination of time lags resulting from these phase shifts.
  • Demonstration with typical examples of filter-induced phase distortions.

Main Results:

  • Filters, both online and offline, introduce significant phase distortions in neurophysiological signals.
  • These distortions lead to variable or constant time lags, compromising temporal fidelity.
  • The timing information crucial for accurate interpretation is often lost or corrupted.

Conclusions:

  • Ubiquitous filtering in neurophysiology corrupts essential timing information.
  • Misinterpretation of results and erroneous conclusions are risks due to these distortions.
  • Methods for evaluating and restoring timing information are necessary for reliable signal analysis.