Determination of Safety Limits against Cyber Threats in Neuromodulation Devices using Machine Learning, Brain Phantoms, and Neural Pathways

Topic

Grant

  • Sponsor: Commonwealth Cyber Initiative (CCI)
  • Year: 2021
  • Total: $200,000
  • Share: $65,000

Objective

  • Predict electric fields induced by transcranial magnetic stimulation in the brain using deep learning.

Team

Publications

[c1] Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. Alam, J. Gong, C. Lewis, C. Peterson, H. Eldardiry, J. Atulasimha, and R. Hadimani
IEEE Internation EMBS Conference on Neural Engineering 2023
Acceptance Rate 24%

[c2] Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. Alam, J. Gong, C. Lewis, C. Peterson, H. Eldardiry, J. Atulasimha, R. Hadimani
Bulletin of the American Physical Society 2023

[c3] Prediction of Stimulation Strength of Transcranial Magnetic Stimulation in the Brain with Deep Convolutional Neural Network based Encoder-Decoder Network
M. Alam, M. Tashli, J. Gong, C. Lewis , C. Peterson, H. Eldardiry, R. Hadimani, J. Atulasimha
IEEE Conference on Magnetism and Magnetic Materials 2022