Visualization of neurological data in competing regions
Moran Cerf, Ph.D. is a neuroscientist who has been analyzing the brain and consciousness for the past several years.
I was invited several times over the past few years to help illustrate key processes, cover designs, and imagery to help visually support scientific articles.
Roles throughout project: illustration, data visualization, and graphic design
In his submission to Nature, Cerf wanted to help visualize the data in a digestible way and reached out for consultation.
With his paper on human thought and the neuron, Cerf posits that humans can learn to access and regulate activity of neurons deep inside of their brain by pure thought. With his colleagues, he had collected an amazing array of data that demonstrates his hypothesis and affirms that the eventual path to being able to use neural technologies to “read the mind of people” may one day be possible.
Cerf’s data is the story of two (or more) competing regions in the brain and his experiments centered around which region wins and how many times. Since his experiment is described in detail, it became important to illustrate the results of the tests across patients. I provided two approaches to visualizing the data. One approach was to show how many times patients were tested and the percentage a region won. The second approach was to provide the percentage of times a region won, spatial location (right vs left hemisphere), and a indication of which region won overall.
On-Line, Voluntary Control of Single Neurons by Human Thought (work by Moran Cerf, PhD, et al)
More coming soon: a collaboration with Daniel Kim, PhD.