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We used a transcranial magnetic stimulation adaptation paradigm to examine the existence of functionally segregated overlapping populations of neurons for different numerical formats and to reveal how numerical information is encoded and represented.
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This section will discuss several potential pathways involved in mechanical stimulation induced adaptation.
Agreement was achieved between computational results and experimental investigations of electrokinetic phenomenon, tracer transport, cellular stimulation, and functional adaptation.
However, repetitive odorant stimulation showed altered adaptation in the eNOS deficient mice.
Thus, the quantity of muscle output and the stimulation of neural adaptation (neural drive) is emphasized.
Stimulus specific adaptation, representing a reduction in neural activity in response to repeated stimulation, is a well established effect.
In Section 2.2 above, we reviewed empirical evidence against the view that active movement and corresponding reafferent stimulation are necessary for adaptation to ORDs.
We again use the same naturalistic stimulation protocol to study adaptation on behaviorally relevant time scales [4].
In the current study, we combined transcranial magnetic stimulation (TMS) with an adaptation paradigm (TMSA) (Silvanto et al. 2008).
Time constants were determined from a single exponential fit of MET responses evoked by the small bundle deflections of ∼150 nm (see black traces in C, D ). (G, J ) Percent changes of the MET current 10 ms after a stimulation step (extent of adaptation) as a function of stimulus intensity in IHCs (G ) and OHCs (J ).
Thus, well-defined training methods-implementing intense multisensory stimulation may induce neural adaptations and enhance motor and functional recovery of the paretic upper extremity.
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