Research

Neural Engineering

Neural engineering represents an emerging research field aiming at developing interfaces between the nervous system and external devices. Research in this area has significantly helped the development of assistive devices that can interface directly with the brain to compensate for a lost function. Such multi-disciplinary research area that brings expertise from Electrical Engineering and Computer Science together with expertise from Neuroscience currently represents one of the most hot topics of research worldwide. We have established the Biomedical and Neuro Engineering Lab (BNEL) at the Faculty of Engineering, Ain Shams University to perform research in both non-invasive and invasive neural interfaces. Research activities involve developing neural interfaces to allow interaction with smart devices, developing visual prostheses to restore vision and studying biomarkers of neurodegenerative diseases.

Research Team

  1. Seif Eldawlatly
  2. Gamal M. Aly
  3. Hani M. K. Mahdi
  4. Mohamed Taher
  5. Bassem Abdullah

Related Journal Publication List

  1. E. Mounir, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, “A Deep Convolutional Visual Encoding Model of Rat Lateral Geniculate Nucleus,” Brain Informatics, in press.
  2. M. Gamal, M. H. Mousa, S. Eldawlatly, and S. M. Elbasiouny, “Decoding Motoneuron Spiking Activity using Kalman Filter for Prosthetic Hand Control,” Computers in Biology and Medicine, Vol. 132, 104353, 2021.
  3. S. Eldawlatly, M. Abouelhoda, O. S. Al-Kadi, T. Gojobori, B. Jankovic, M. Khalil, A. H. Khandoker, and A. Morsy, “Biomedical Computing in the Arab World: Unlocking the Potential of a Growing Research Community,” Communications of the ACM, Vol. 64, pp. 108–113, 2021.
  4. A. Jawwad, H. H. Abolfotuh, B. Abdullah, H. M. K. Mahdi and S. Eldawlatly, "Modulating Lateral Geniculate Nucleus Neuronal Firing for Visual Prostheses: A Kalman Filter-based Strategy,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 25, No. 10, pp. 1917-1927, 2017.
  5. A. S. Elsawy, S. Eldawlatly, M. Taher, G. M. Aly, “MindEdit: A P300-based Text Editor for Mobile Devices,” Computers in Biology and Medicine, Vol. 80, pp. 97-106, 2017.
  6. S. Eldawlatly and K. G. Oweiss, "Temporal precision in population - but not individual neuron - dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex," Frontiers in Computational Neuroscience, Vol. 8, No. 155, doi:10.3389/fncom.2014.00155, 2014.
  7. K. Y. Kwon, S. Eldawlatly and K. G. Oweiss, “NeuroQuest: A Comprehensive Analysis Tool for Extracellular Neural Ensemble Recordings,” Journal of Neuroscience Methods 204(1), pp. 189-201, 2012.
  8. S. Eldawlatly and K. G. Oweiss, “Millisecond-Timescale Local Network Coding in the Rat Primary Somatosensory Cortex,” PLoS ONE 6(6): e21649, doi:10.1371/journal.pone.0021649, 2011.
  9. M. Aghagolzadeh, S. Eldawlatly, and K. Oweiss, "Synergistic Coding by Cortical Neural Ensembles," IEEE Transactions on Information Theory, Vol. 56, No. 2, pp. 875-889, 2010.
  10. S. Eldawlatly, Y. Zhou, R. Jin and K. Oweiss, “On the Use of Dynamic Bayesian Networks in Reconstructing Functional Neuronal Networks from Spike Train Ensembles,” Neural Computation 22(1), pp. 158-189, 2010.
  11. S. Eldawlatly, R. Jin and K. Oweiss, “Identifying Functional Connectivity in Large Scale Neural Ensemble Recordings: A Multiscale Data Mining Approach,” Neural Computation 21(2), pp. 450-477, 2009.

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