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

Neuronal Communication01:28

Neuronal Communication

4.3K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
4.3K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

4.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
4.2K
Encoding01:19

Encoding

966
Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
966
Synaptic Signaling01:12

Synaptic Signaling

81.4K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
81.4K
Synaptic Signaling01:09

Synaptic Signaling

7.0K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
7.0K
Basic Operations on Signals01:22

Basic Operations on Signals

1.2K
Basic signal operations include time reversal, time scaling, time shifting, and amplitude transformations. These operations are fundamental in signal processing and analysis.
Time Reversal mirrors a continuous-time signal about the vertical axis at t=0. This is achieved by substituting t with −t. For example, if a signal x(t) is considered, the time-reversed signal is x(−t). This operation can be graphically represented, showing the mirrored signal.
1.2K

You might also read

Related Articles

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

Sort by
Same author

Integrating community Live Reviews into academic publishing: an exploratory study.

Research integrity and peer review·2026
Same author

Immediate to longer-term neurophysiological impact of acute neural network disruption.

medRxiv : the preprint server for health sciences·2026
Same author

Evidence for evolutionary divergence in temporal integration windows between human and monkey auditory cortex.

Hearing research·2025
Same author

Exaggerated perception of change with greater sensory imprecision.

Scientific reports·2025
Same author

Temporal context-guided memory capabilities in rodents.

Scientific reports·2025
Same author

Awake replay: off the clock but on the job.

Trends in neurosciences·2025

Related Experiment Video

Updated: Mar 16, 2026

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.4K

Neuronal Mechanisms and Transformations Encoding Time-Varying Signals.

Christopher I Petkov1, Daniel Bendor2

  • 1Institute of Neuroscience, Newcastle University Medical School, Framlington Place, Newcastle upon Tyne NE24HH, UK.

Neuron
|August 19, 2016
PubMed
Summary
This summary is machine-generated.

New research reveals the neural mechanisms behind how the brain processes the speed of time-varying sensory signals. This study enhances our understanding of neural coding in the sensory cortex.

Keywords:
auditoryintracellularmechanismneuronprimaterate coding

More Related Videos

Simultaneous Electrophysiological Recording and Calcium Imaging of Suprachiasmatic Nucleus Neurons
09:42

Simultaneous Electrophysiological Recording and Calcium Imaging of Suprachiasmatic Nucleus Neurons

Published on: December 8, 2013

11.5K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

9.0K

Related Experiment Videos

Last Updated: Mar 16, 2026

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.4K
Simultaneous Electrophysiological Recording and Calcium Imaging of Suprachiasmatic Nucleus Neurons
09:42

Simultaneous Electrophysiological Recording and Calcium Imaging of Suprachiasmatic Nucleus Neurons

Published on: December 8, 2013

11.5K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

9.0K

Area of Science:

  • Neuroscience
  • Sensory processing
  • Neural coding

Background:

  • Sensation relies on processing time-varying signals in natural environments.
  • Previous studies identified neuronal representations of signal temporal rate in the sensory cortex.

Purpose of the Study:

  • To investigate the underlying neural mechanisms responsible for encoding temporal rates of sensory signals.
  • To provide new insights into how the brain analyzes dynamic environmental information.

Main Methods:

  • Electrophysiological recordings in the sensory cortex.
  • Analysis of neuronal responses to time-varying stimuli.
  • Investigation of neural circuit dynamics.

Main Results:

  • Identification of specific neuronal populations and circuits involved in temporal rate encoding.
  • Characterization of how neural activity patterns reflect signal dynamics.
  • Elucidation of mechanisms contributing to precise temporal coding.

Conclusions:

  • Gao et al. (2016) offer crucial insights into the neural basis of temporal signal processing.
  • The findings advance our understanding of sensory cortex function in dynamic environments.
  • This work lays the foundation for future research on neural mechanisms of sensation.