Hi everyone, this is Rachel Stephen back with another video here on livestudyhacks. Today we have a special guest Professor Sabine Kastner, currently a professor at the Princeton neuroscience institute. She is studying how the brain weeds out important information from everyday scenes. Using functional magnetic resonance imaging, Professor Kastner is able to peek inside the brain and see what areas are active when a person sees a face, place, or object. Most impressively, Professor Kastner did her postdoctoral research at the National Institute for Mental Health and her research is funded by the national science foundation.She has written the Oxford handbook of attention and has started the young frontier of mind foundation to encourage other kids to learn more about neuroscience. Today we are going to learn more about her research regarding how large-scale networks achieve cognition.
With the information collected from the simultaneous multi-site recording you looked into the spike probability with effective phase relations vs Ineffective Phase, which questioned if there is a third area of this phrase? You experimented with this question using the behavioral paradigm: Flanker task with Monkeys? How does this process work exactly?
After conducting the behavioral paradigm, flanker task you found that Human behavior and Monkey behavior is similar with attention, looking at the pulvinar neurons you found 3 things which are cue-evoked responses, elevated delay activity, and attentional response enhancement? You were interested in looking at the elevated delay activity and its correlation to the pulvinar,V4, and TEO, can you explain your discoveries in this area?
Your work has a great impact with epilepsy patients, using your research with primates giving them the attention task of human cognitive psychology, you were able to look at the competitive electrophysiology in regards to parental cortex in collaboration with Bob Knight, UC berkeley? Can you explain more about your works in that regard, and where you are currently?
Thanks for your blog, nice to read. Do not stop.