By default, the feature sports a small square in the middle that automatically fires up Super Slow Motion when it detects action.
The approach includes a novel clustering process where initial incomplete models developed through knowledge engineering are used to detect action clusters which represent activities and aggregate new actions.
The method itself has proven that it can quickly and reliably detect action potentials of a variety of morphologies in extracellular neuronal recordings, in comparison with the conventional threshold detection algorithm.
Examples are presented to show how decomposition can be used to investigate motor-unit recruitment and discharge behavior, to study motor-unit architecture, and to detect action potential blocking in doubly innervated muscle fibers.
Recordings of brain activity can be made using electrodes, either glued to the scalp as in EEG studies, or implanted inside the brains of animals for extracellular recordings, which can detect action potentials generated by individual neurons.
We quantified our ability to detect action potentials under the highly-favorable conditions of brain slice recordings.
By targeting GECIs to the plasma membrane, it may be possible to increase GECI responses and thereby to improve their ability to detect action potentials.
Detected action potential amplitudes, and subsequently the magnitude of changes in amplitude, are proportional to the distance from a recording electrode.
If an outbreak is detected, action is then taken to identify and control the source.
