Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials

Overview of attention for article published in Journal of Neural Engineering, April 2021

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RT @NeuroRipple: Last month, work published in the Journal of Neural Engineering used Ripple stimulation technology to improve the recordin…

Last month, work published in the Journal of Neural Engineering used Ripple stimulation technology to improve the recording of somatosensory evoked potentials in the central sulcus! https://t.co/hbwjamqbWh @Dhiegoncx @DrShreyBhavsar https://t.co/Ar7vxkFCIV

🥳🙌 to #PhD #student Priscella Asman and @nf_ince for their recent #publication using #Unsupervised #machinelearning https://t.co/OgMsiqlDIa via @IOPscience @UHEngineering #neuralengineering #BME #BIOE #imaging #ECoG #Somatosensory #corticalmapping #tran…

RT @nf_ince: Here is a link to our new paper which brings machile learning into the surgery room for brain mapping. Unsupervised machine l…

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