1. Abadi M., Agarwal A., Barham P., Brevdo E., Chen Z., Citro C., Corrado G.S., Davis A., Dean J., Devin M., Ghemawat S., Goodfellow I., Harp A., Irving G., Isard M., Jia Y., Jozefowicz R., Kaiser L., Kudlur M., Levenberg J., Mane D., Monga R., Moore S., Murray D., Olah C., Schuster M., Shlens J., Steiner B., Sutskever I., Talwar K., Tucker P., Vanhoucke V., Vasudevan V., Viegas F., Vinyals O., Warden P., Wattenberg M., Wicke M., Yu Y., Zheng X., 2016. TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv. 265–283. doi:10.48850/arXiv.1603.04467.
2. Biophysically realistic neuron models for simulation of cortical stimulation;Aberra;J. Neural Eng.,2018
3. Simulation of transcranial magnetic stimulation in head model with morphologically-realistic cortical neurons;Aberra;Brain Stimul.,2020
4. Computationally efficient simulation of electrical activity at cell membranes interacting with self-generated and externally imposed electric fields;Agudelo-Toro;J. Neural Eng.,2013
5. Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach;Akbar,2020