Researchers at the University Of Pennsylvania School Of Medicine suggest that the human retina is capable of transmitting visual input at a rate akin to an Ethernet connection, which is one of the known local area network systems in use. This measurement is a comparison of neural systems with artificial ones, as a means to evolve advanced artificial visual systems based on the available information. These findings have been presented in the July issue of Current Biology.
Much research on the basic science of vision asks what types of information the brain receives; this study instead asked how much. Using an intact retina from a guinea pig, the researchers recorded spikes of electrical impulses from ganglion cells using a miniature multi-electrode array. The investigators calculate that the human retina can transmit data at roughly 10 million bits per second. By comparison, an Ethernet can transmit information between computers at speeds of 10 to 100 million bits per second.The retina is actually a piece of the brain that has grown into the eye and processes neural signals when it detects light. Ganglion cells carry information from the retina to the higher brain centers; other nerve cells within the retina perform the first stages of analysis of the visual world. The axons of the retinal ganglion cells, with the support of other types of cells, form the optic nerve and carry these signals to the brain.
Investigators have known for decades that there are 10 to 15 ganglion cell types in the retina that are adapted for picking up different movements and then work together to send a full picture to the brain. The study estimated the amount of information that is carried to the brain by seven of these ganglion cell types.
The guinea pig retina was placed in a dish and then presented with movies containing four types of biological motion, for example a salamander swimming in a tank to represent an object-motion stimulus. After recording electrical spikes on an array of electrodes, the researchers classified each cell into one of two broad classes: "brisk" or "sluggish," so named because of their speed.
The researchers found that the electrical spike patterns differed between cell types. For example, the larger, brisk cells fired many spikes per second and their response was highly reproducible. In contrast, the smaller, sluggish cells fired fewer spikes per second and their responses were less reproducible.
But, what's the relationship between these spikes and information being sent? "It's the combinations and patterns of spikes that are sending the information. The patterns have various meanings," says co-author Vijay Balasubramanian, PhD, Professor of Physics at Penn. "We quantify the patterns and work out how much information they convey, measured in bits per second."
Advertisement
"Spikes are metabolically expensive to produce," says lead author Kristin Koch, a PhD student in the lab of senior author Peter Sterling, PhD, Professor of Neuroscience. "Our findings hint that sluggish cells might be 'cheaper,' metabolically speaking, because they send more information per spike. If a message must be sent at a high rate, the brain uses the brisk channels. But if a message can afford to be sent more slowly, the brain uses the sluggish channels and pays a lower metabolic cost."
Advertisement
Source : Eureka Alert
