By Benjamin Lawson
Using technology similar to that found in a lie detector, Corey McCall, a Stanford University doctoral candidate, is creating a video game controller that registers signals about a players respiration, pulse, and perspiration. In Gregory Kovacs’s lab, in association with Texas Instruments, a prototype was constructed.
As a player gets more excited, all of signals the device registers change. Consider physical activity or watching an interesting movie, surprising these have similar autonomous nervous responses. As your interest or involvement increases your respiration rate decreases, pulse increases, and perspiration increases.
How many times have you not completed the reading assignment for you systems physiology class because you ran out of time? How many times have you attempted to use speed reading techniques like not subvocalizing, or talking to yourself as you read? A new Boston-based start-up claims to have solved the ‘slow reader’ problem and promises 600 words per minute for all.
One must be skeptical when approaching the front line technologies, as it is easy to be convinced that people have invented what you desire. For instance, when Tony Hawk promotes a brand “hoverboard” technology, Back to the Future fans went berserk. However, Spritz is a bit more open about the actual science behind their product.
Do you fancy yourself a scientist? Are you unable to work in a laboratory? Now with online crowd sourcing technology, you can be on the front line of cutting-edge discoveries. In the same fashion that people raise money through crowd sourcing on websites like KickStarter and GoFundMe, researchers at MIT have created a program to capitalize on the thousands of people that have access to a computer. The project is headed by Dr. Sebastian Seung using data collected from the Max Planck Institute for Medical Research. The goals of the project are to reconstruct the three-dimensional shapes of retinal neurons from two-dimensional images, to identify synapses in order to map the connections between neurons, and to relate this connectivity with the known activity of the neurons. Completion of these tasks will contribute to the overall goal of developing the connectome, a project with the same ideal of the Human Genome Project, but for neural connections instead of genes.
Currently, Eyewire is mapping four types of cells: amacrine, bipolar, ganglion, and glial cells. Many processes are used to map these cells. First, cells are photographed using serial block-face scanning electron microscopy (SBFSEM). This technique uses two groups of materials to stain a sample. The heavy metals osmium, lead, and uranium are used and an epoxy resin, or a type of plastic, are combined to produce a sample that can easily be read by a scanning electron microscope (SEM). The heavy metals react with a focused beam of electrons coming from the SEM to create a high resolution two dimensional image. A three dimensional image is created by combining layers of the sample, with each layer being about 70 microns thick.