Computational Neuroscience, Connectomics, Consciousness

In this project we use computational tools to improve our understanding of the brain dynamics (represented by the functional connectome), and their relationship to the brain structure (represented by the structural connectome). The project is in collaboration with neuroscientists at the CoNECt Lab, and is partly supported by NSF Grant IIS-1213013.

Overview

O. Wolfson Understanding the Human Brain Via its Spatio-temporal Properties (Vision Paper) Proc. of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), Seattle, WA, Nov. 2018.

Representative publication

O. Wolfson, P. Szczurek, A. Vijayan, A. Leow, O. Ajilore, A Traffic Analysis Perspective on Communication in the Brain, Proc. of the 18th IEEE International Conference on Mobile Data Management (MDM), Daejeon, South Korea, May 2017, pp. 206-211.

L. Zhan, L. Jenkins, O. Wolfson, J. GadElkarim, K. Nocito, O. Ajilore, M. K. Chung, A. Leow, "The Significance of Negative Correlations in Brain Connectivity", The Journal of Comparative Neurology, Wiley, Oct. 2017, pp. 1-15

M. Xing, J. GadElkarim, O. Ajilore, O. Wolfson, A. Forbes, K. L. Phan, H. Klumpp, A. Leow, "Thought Chart: tracking the thought with manifold learning during emotion regulation", Brain Informatics, Springer, Vol.5(7), Dec. 2018, pp. 1-9.

O. Wolfson, "A Relational-Database Methodology for Incorporating Consciousness into AI Agents", Journal of Artificial Intelligence and Consciousness, World Scientific Publishing Company, accepted Dec. 2020, pp. 1-15.

Contact me at my last name@uic.edu