Stimulation Dependent Activity
Stimulation Dependent Activity - Related Videos
11:44
A High Resolution Method to Monitor Phosphorylation-dependent Activation of IRF3
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Cited by 29 •
2016
Here we describe a procedure allowing a detailed analysis of the phosphorylation-dependent activation of the IRF3 transcription factor. This is achieved through the combination of a high resolution SDS-PAGE and a native-PAGE coupled to immunoblots using multiple phosphospecific antibodies.
12:38
State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior
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Cited by 4 •
2010
In this article, we examine the effects of visually relevant state dependency on TMS induced motive phosphenic presentations.
02:19
Triggering a Closed-Loop Stimulation by Neuron Spiking Activity
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2025
This video demonstrates the operation of closed-loop stimulation in a rat with a surgically implanted device to record neural activity. Neuronal signals are first recorded and analyzed. Template waveforms are then uploaded, and parameters are defined to trigger closed-loop stimulation.
11:02
Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
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Cited by 17 •
2010
In this article, we examine the methodology and considerations relevant to the combination of TMS and fMRI to examine the effects of brain stimulation on the default network.
10:14
Biochemical Assays for Analyzing Activities of ATP-dependent Chromatin Remodeling Enzymes
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Cited by 4 •
2014
Here we describe biochemical assays that can be used to characterize ATP-dependent chromatin remodeling enzymes for their abilities to 1) catalyze ATP-dependent nucleosome sliding, 2) engage with nucleosome substrates, and 3) hydrolyze ATP in a nucleosome- or DNA-dependent manner.
FAQs
The strength, timing, and duration of a stimulus influence whether membrane potential changes remain limited or reach the threshold for action-potential generation. These variables also affect the timing and amount of resulting neural activity. Controlling them allows researchers to compare neuronal responses systematically and determine how stimulus conditions alter signaling within a neural system.
When stimulation changes the membrane potential enough to reach threshold, the neuron can generate an action potential. That electrical event may then produce downstream synaptic transmission, extending the response from an individual neuron to connected cells. Measuring this sequence helps distinguish changes in neuronal excitability from later effects on communication across a circuit.
The same defined stimulus can produce different activity depending on the current state of the neural network. Network state therefore affects how membrane-potential changes develop and whether signaling progresses to action potentials or synaptic transmission. Accounting for this dependence is essential when comparing responses across conditions, circuits, or experimental states.
A typical approach applies a defined sensory, electrical, chemical, or synaptic stimulus and then measures the resulting neural activity. Electrophysiology can track electrical signaling, whereas imaging can characterize activity patterns, and neuromodulation can provide a controlled way to alter neural function. Comparing measurements across stimulus conditions links input parameters to circuit responses.
Response measurements can characterize neuronal excitability, connectivity, and plasticity. A change in excitability indicates altered responsiveness, while activity transmitted across connected elements provides information about circuit communication. Differences across repeated or contrasting conditions can therefore help researchers relate controlled stimulation to circuit function and identify changes in neural dynamics.
Researchers can compare responses obtained under controlled stimulation in healthy systems with those associated with disease-related conditions. Electrophysiology, imaging, and neuromodulation provide complementary ways to examine these differences. The resulting activity patterns can be related to circuit function and behavior, helping connect cellular or network-level signaling with broader neuroscience questions.