Self-induced Back-action
Self-induced Back-action - Related Videos
10:41
Laser-Induced Action Potential-Like Measurements of Cardiomyocytes on Microelectrode Arrays for Increased Predictivity of Safety Pharmacology
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Cited by 4 •
2022
The combination of laser poration and microelectrode arrays (MEA) allows action potential-like recordings of cultivated primary and stem cell-derived cardiomyocytes. The waveform shape provides superior insight into test compounds' mode of action than standard recordings. It links patch-clamp and MEA readout to further optimize cardio safety research in the future.
12:33
Corticospinal Excitability Modulation During Action Observation
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Cited by 22 •
2013
Single-pulse transcranial magnetic stimulation over the primary motor cortex, neuronavigation, and registration of electromyographic activity of hand muscles were used in this study to explore corticospinal excitability while participants were observing action sequences.
01:14
Action Potential
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2025
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage. Membrane potential in neurons Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
01:41
Action Potentials
0 Views •
2025
Overview Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information in the nervous system. An action potential is a specific “all-or-none” change in membrane potential that results in a rapid spike in voltage. Membrane Potential in Neurons Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
03:11
In Vivo Measurement of the Compound Muscle Action Potential in a Rat
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2025
This video demonstrates the procedure for recording compound muscle action potential (CMAP) in rats by applying electrical stimuli to the ulnar nerve, adjusting electrodes for optimal signal, and increasing stimulation to assess nerve functionality. This method enables the in vivo investigation of the peripheral nerve functions in neurological disorders.
FAQs
The key mechanism is the return path from an output to the conditions governing later operation. When motion, current, heat, or an optical field changes a coupled environment or control parameter, the altered condition changes the system’s subsequent response. This coupling can shift resonance, modify damping, or produce amplification, so engineers treat the output and its environment as one interacting process.
Changes in the coupled environment or control parameter can move the system away from its earlier resonant condition, producing a resonance shift. The same interaction can change damping, which affects how the response evolves, or produce amplification. These effects provide measurable indicators of the feedback pathway and help engineers identify whether coupling is modifying performance in a controlled or disruptive way.
The resulting behavior depends on how the system’s changed conditions feed into its later response. A feedback interaction may amplify the response, alter damping, or destabilize operation and create unwanted oscillations. Engineers therefore examine the interaction rather than the output alone, using its predicted effect on stability to distinguish a useful response from a problematic one.
Modeling links the system’s operation with the changing conditions that influence its subsequent behavior. This approach helps engineers predict resonance shifts, damping changes, amplification, and possible instability before evaluating a device in operation. By clarifying the effective dynamics, the model supports performance analysis and helps prevent unwanted oscillations in engineered systems.
An analysis begins by identifying the relevant output, such as motion, current, heat, or an optical field. Engineers then determine which coupled environment or control parameter that output can change and represent how the changed condition feeds back into system behavior. The resulting model is examined for resonance shifts, damping, amplification, stability, and unwanted oscillations.
The phenomenon is relevant wherever a device’s operation can influence conditions that shape its response. Engineers use this interaction in sensors, actuators, adaptive control systems, and precision measurement devices. In these applications, the feedback can provide a functional response, while modeling remains important for controlling performance, predicting effective dynamics, and avoiding instability.