I have a broad background in neuroimaging, with specific training and expertise in analyzing and visualization of multi-modality neuroimaging datasets. I received my Ph.D. degree in machine learning and games theory from Bar-Ilan University in 2014, and in 2015 I started my position as a research fellow in the Athinoula A. Martinos Center for Biomedical Imaging, funded by the TRANSFORM-DBS program, which concluded in May 2019.
TRANSFORM-DBS (Transdiagnostic Repair of Affective Networks by Systematic, Function-Oriented, Real-time Modeling, and Deep Brain Stimulation) was a 5-year program sponsored by the Defense Advanced Research Projects Agency (DARPA). In my position, I had been responsible for building tools and algorithms for the group and visualize and analyze the highly complex collected datasets. For doing so, I had to collaborate with all the different labs and personal that are part of this project, deploy and install my tools in different environments and for different types of users, collect their feedback and suggestions to be able to improve my tools and algorithms.
As the leading developer of the multi-modality analysis and visualization tool (mmvt.mgh.harvard.edu), I laid the groundwork for developing a unique interactive platform to visualize and analyze highly complex multi-modalities neuroimaging datasets (e.g., EEG, MEG, fMRI, PET, and invasive electrodes). My research focuses mainly on developing new algorithms and analyzing epileptic activity using EEG, MEG, and invasive electrodes datasets based on source distribution, frequencies, and connectivity.
Most recently, I initiated a pilot with the director of functional neurosurgery at MGH, for using MMVT for analyzing new patients’ multi-modal datasets and preparing epileptic cases for the surgical planning session. By synergetic integrating the acquired multi-modal datasets, I will assist in the surgical planning sessions. I have also initiated such an initiative with the epilepsy centers in Boston Children’s Hospital and Texas Children’s Hospital.
PhD in Neuroscience at Bar-Ilan University (Israel)
Felsenstein O, Peled N*, Hahn E, et al. Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT). arXiv preprint arXiv:191210079. Published online 2019.
Peled N, Kraus S. A study of computational and human strategies in revelation games. Autonomous Agents and Multi-Agent Systems. 2015;29(1):73–97
Keren N, Peled N, Korngreen A. Constraining compartmental models using multiple voltage recordings and genetic algorithms. Journal of neurophysiology. Published online 2005
Systems and Methods for Multi-Modal Bioimaging Data Integration
U.S. Patent Application No. 62/941,305