Stimulus Onset Asynchrony
Stimulus Onset Asynchrony - Related Videos
03:04
Inducing Axonal Varicosities with a Micromechanical Stimulus on Neurons
0 Views •
2025
This video demonstrates the induction of axonal varicosities by applying micromechanical stimulus on neurons. The system comprises a micropipette attached to a syringe containing buffer via tubing. Using a micromanipulator, the micropipette is positioned above the neurons. Fluid pressure is then applied to induce varicosities in axons.
09:52
How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners
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Cited by 2 •
2018
This protocol describes key steps involved in assessing the sensitivity of the brain of one person to the stimulus processing of a close other by selecting pairs of partners, recording their electroencephalogram (EEG) simultaneously and computing their event-related brain potentials (ERPs).
08:51
The Use of Thermal Infra-Red Imaging to Detect Delayed Onset Muscle Soreness
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Cited by 110 •
2012
The purpose of this investigation was to assess whether using an infra-red thermal camera is a valid tool for detecting and quantifying the muscle soreness after exercising.
09:59
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
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Cited by 17 •
2017
A protocol for stroke onset time estimation in a rat model of stroke exploiting quantitative magnetic resonance imaging (qMRI) parameters is described. The procedure exploits diffusion MRI for delineation of the acute stroke lesion and quantitative T1 and T2 (qT1 and qT2) relaxation times for timing of stroke.
10:14
Object Substitution Masking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Visual masking is a term used by perceptual scientists to refer to a wide range of phenomena in which in an image is presented but not perceived by an observer because of the presentation of a second image. There are several different kinds of masking, many of them relatively intuitive and unsurprising. But one surprising and important type of masking is called Object Substitution Masking. It has been a focus of research in vision...
FAQs
Varying the interval lets researchers test when one event begins to affect processing of another. If responses change as the delay changes, the pattern can illuminate temporal dynamics in perception, attentional selection, response preparation, or cognitive priming. Thus, SOA serves as a controlled way to connect observable performance with processing over time.
Simultaneous and delayed presentations create different temporal relationships between events. Comparing performance across these conditions helps determine whether the order and spacing of stimuli alter reaction time, accuracy, attention, or memory. This comparison is especially useful when researchers want to identify whether one event influences the processing of a later event.
Patterns in reaction time and accuracy across different intervals can show when attentional selection occurs, responses are prepared, or priming occurs. Measures of memory add a complementary view of temporal processing. Researchers therefore interpret the pattern across intervals, rather than treating a single timing condition as the complete result.
Researchers create SOA conditions by presenting two stimuli simultaneously or introducing precisely controlled delays between their onsets. They then record outcomes such as reaction time, accuracy, attention, or memory. Keeping the timing relation as the manipulated feature allows the resulting differences in performance to be examined as consequences of when the events appear.
In masking studies, changing SOA helps determine how the timing of one stimulus affects processing of another. In divided-attention experiments, it provides a way to examine performance when events occur together or at different delays. For sequence learning, varying event timing helps researchers investigate how people process ordered stimulus events.
An effect confined to particular SOAs suggests that the influence between events depends on their temporal relationship. Researchers can use that pattern to estimate when processing of one event interacts with another, rather than concluding that the stimuli have a constant effect at every delay. This interpretation connects timing-specific performance changes to cognitive mechanisms.