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

Basic Continuous Time Signals01:22

Basic Continuous Time Signals

685
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
685
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

703
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
703
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

740
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
740
Bacterial Signaling01:30

Bacterial Signaling

40.6K
Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
40.6K
Small-signal Diode Model01:18

Small-signal Diode Model

1.6K
In analyzing the behavior of diodes in circuits, the relationship between the current through a diode and the voltage across it is of particular interest, especially when considering the effect of a direct current (DC) bias voltage. When applied, this DC bias influences the diode's operating point, known as the Q point, around which the current-voltage (I-V) characteristic of the diode exhibits exponential behavior. Introducing a small, time-varying signal on top of this bias aids in examining...
1.6K
Yeast Signaling01:28

Yeast Signaling

17.2K
Yeasts are single-celled organisms, but unlike bacteria, they are eukaryotes (cells with a nucleus). Cell signaling in yeast is similar to signaling in other eukaryotic cells. A ligand, such as a protein or a small molecule released from a yeast cell, attaches to a receptor on the cell surface. The binding stimulates second-messenger kinases to activate or inactivate transcription factors that further regulate gene expression. Many of the yeast intracellular signaling cascades have similar...
17.2K

You might also read

Related Articles

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

Sort by
Same author

The BRIEF-A, a gold standard on shaky ground: An item-level reassessment of its factorial structure.

Applied neuropsychology. Adult·2026
Same author

Revising Parental Burnout Theory: Toward a Differentiation of Sleep-Related Burnout Subtypes.

Children (Basel, Switzerland)·2026
Same author

The couple Energy & Engagement Model: a new operational theory for relationship burn-out.

Frontiers in psychology·2026
Same author

Is a full psychotherapy program necessary to reduce benzodiazepine dependence for insomnia? A Randomized Controlled Trial Comparing Drug Tapering with Single-Session CBT vs. Full Acceptance and Commitment Therapy.

Sleep medicine·2026
Same author

Drivers of suboptimal sleep education and insomnia in children: A Cognitive and Emotional Model of Young Children's Insomnia (CEMYCI).

Sleep medicine·2026
Same author

Humor as a double-edged weapon in psychopathology: light and dark humor styles, coping, and personality in police mental health.

Journal of occupational medicine and toxicology (London, England)·2025

Related Experiment Video

Updated: Jan 28, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

953

Challenges to developing time-based signal detection models for word production

Royce Anders1, F-Xavier Alario1

  • 1a LPC UMR 7290 , Aix-Marseille Université, CNRS , Marseille , France.

Cognitive Neuropsychology
|February 28, 2019
PubMed
Summary

No abstract available in PubMed .

Keywords:
Language productioncognitive–behavioral modelinglexical selectionresponse time analysissemantics

More Related Videos

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

1.3K
Organotypic Cerebellar Cultures: Apoptotic Challenges and Detection
11:57

Organotypic Cerebellar Cultures: Apoptotic Challenges and Detection

Published on: May 17, 2011

18.7K

Related Experiment Videos

Last Updated: Jan 28, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

953
Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication
07:18

Author Spotlight: Deciphering the Cognitive and Neural Mechanisms of Gesture in Communication

Published on: January 26, 2024

1.3K
Organotypic Cerebellar Cultures: Apoptotic Challenges and Detection
11:57

Organotypic Cerebellar Cultures: Apoptotic Challenges and Detection

Published on: May 17, 2011

18.7K