January 2016 The Wyss Institute/Church lab was awarded a contract from IARPA for brain mapping. The Machine Intelligence from Cortical Networks (MICrONS) initiative, of which I’m a co-investigator and co-author of the proposal.
July 2010 Submitted PhD Dissertation! Evoked Currents in Human Visual Cortex
My research interests are in threading Neuroscience and Computer Science. I am keenly interested in all aspects of how the brain and mind work from the cellular to the psychological. I enjoy applying neuroscience to Artificial Intelligence (AI), and AI/Machine Learning to neuroscience.
My overall research goal is to help people through applied and theoretical work.
In my Neuroscience PhD at the Australian National University I investigated evoked currents in areas V1 and V2 using multifocal VEPs and dipole modeling with EEG and MRI. I developed an innovative method to interactively perform dipole source analysis and simultaneously create a retinotopy without requiring fMRI (IDSR). This advance allows the separation of close sources in V1 and V2 without the need for a time consuming and expensive fMRI retinotopy. The dipole source models created were then used with EEG experiments to investigate contrast, luminance, and chromatic effects on V1 and V2’s currents.
At the MIT Media Lab Europe I developed and behaviorally tested electromyogram (muscle) interfaces for mobile phones (MyoPhone). In addition, I worked on a brain-computer interface that used T9 predictive text to increase the words per minute ‘typed’ (Think & Spell).
My brain-computer interface research for my Master’s at RIT was on automatic error recovery using the P300 brain-signal as an indicator of intent to select. The presence of a P300 when an item is selected indicates the user intended to select that item, and therefore the P300’s absence indicates the selection can be automatically undone.