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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Hello,</p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I’m an Msc student working on creating a neural network that is capable of predicting the magnitude of electric field at a given position/positions in the brain (tDCS). For this I’m using a 19 electrode cap. I need to be able to quickly
and automatically find the electric field at a given position for a large combination of electrodes and positions. For example to predict the e field at a position created when two electrodes are switched on from the 19 electrode cap. However to accomplish
this I need to be able to simulate hundreds if not thousands of combinations (depending on how many electrodes are switched on). Doing this by undertaking thousands of simulation would be extremely time consuming, however from my understanding I could very
quickly find the E field at certain positions for many hundreds of electrode combinations by using the Lead-field of a head model. All information related to Lead-fields refers to optimization, however can it be used to predict the outcome of many simulations.
If so how would I go about programming this.</p>
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<p class="MsoNormal">Thanks</p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Jaimie Jobson<o:p></o:p></p>
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