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Hyeonhee Roh

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Articles

Polymer‐Incorporated Mechanically Compliant Carbon Nanotube Microelectrode Arrays for Multichannel Neural Signal Recording

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By Hyeonhee Roh, Minju Kim, Kwangjun Kim, Chaesung Kim
| Wiley Online Library Verified
1 Introduction Implantable microelectrode arrays are indispensable tools for recording brain activity, offering crucial insights into brain dynamics for both fundamental neuroscience and clinical neuroprosthetic applications.[1-4] Despite recent advances, reliable in vivo neural signal acquisition remains challenging due to the inherent trade-off between electrical conductivity and mechanical compliance.
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Machine Learning Techniques for Simulating Human Psychophysical Testing of Low‐Resolution Phosphene Face Images in Artificial Vision

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By Sein Kim, Jae Hun Kim, Maesoon Im, Hyeonhee Roh
| Wiley Online Library Verified
Prediction of Human Recognition Accuracy Using ML Models The linear and nonlinear relationships were established between facial recognition accuracies of ML models and human subjects in tested PIQ levels to estimate human recognition accuracies for nontested PIQ levels, such as 24 × 24 and 32 × 32 with 6 GS, from the accuracies of ML models for those PIQ levels (i.e., 24 × 24 and 32 × 32 with 6 GS).
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