Uploaded November 2024 | Updated September 2026, 2 hours ago
In the first part of the webinar, Dr. Cao will talk about a novel algorithm that synthesizes simultaneously recorded DOT and EEG signals for high spatio-temporal resolution neuronal source reconstruction. He will discuss how the algorithm was designed, and how it was validated through a retinotopy experiment which evolved around a NIRx NIRSports2.
In the second part, he will briefly introduce his current work in progress: an updated version of NIRFASTer, the commonly used photon forward modeling software, which is now Python-based, and even faster. A compact version is already available, and has been integrated into the Cedalion toolbox.
References: J. Cao, E. Bulger, B. Shinn-Cunningham, P. Grover, and J. M. Kainerstorfer. “Diffuse Optical Tomography Spatial Prior for EEG Source Localization in Human Visual Cortex”. In: NeuroImage (2023), p. 120210. DOI: 10. 1016/j.neuroimage.2023.120210.
In the first part of the webinar, Dr. Cao will talk about a novel algorithm that synthesizes simultaneously recorded DOT and EEG signals for high spatio-temporal resolution neuronal source reconstruction. He will discuss how the algorithm was designed, and how it was validated through a retinotopy experiment which evolved around a NIRx NIRSports2.
In the second part, he will briefly introduce his current work in progress: an updated version of NIRFASTer, the commonly used photon forward modeling software, which is now Python-based, and even faster. A compact version is already available, and has been integrated into the Cedalion toolbox.
References: J. Cao, E. Bulger, B. Shinn-Cunningham, P. Grover, and J. M. Kainerstorfer. “Diffuse Optical Tomography Spatial Prior for EEG Source Localization in Human Visual Cortex”. In: NeuroImage (2023), p. 120210. DOI: 10. 1016/j.neuroimage.2023.120210.
