Janelia Research Campus
Dr. Jayaraman is a group leader at the Janelia Research Campus.
Vivek Jayaraman is interested in understanding how sensory and motor information is represented, integrated, and transformed by ensembles of neurons in the brain to enable appropriate actions. His lab uses a combination of experimental and computational techniques to explore sensorimotor processing in the central brain of Drosophila. Their goal is to establish causal links between computation in such circuits and the insect's behavioral decisions.
Why would an aerospace engineer study the fruit fly? The fly may be an impressive flying machine, but what attracts Janelia Group Leader Vivek Jayaraman to the insect is its brain.
"I took the scenic route to neuroscience," is how this engineer-turned-scientist puts it. As an undergraduate at the Indian Institute of Technology in Bombay, Vivek found himself drawn to aerospace engineering by the dramatic images of the space shuttle and space travel, "although it was more of a boyhood dream rather than something carefully thought out," he says. He stayed in the field long enough to earn a master's degree at the University of Florida, where his research focused on computational simulations of fluid flow. Along the way, Vivek became captivated by a different field, artificial intelligence (AI), and began thinking about applying his quantitative skills to problems in that area.
"At first, I was curious about why I couldn't simply mimic the algorithms and coding principles that the brain used," he recalls. "But it quickly became clear that part of the reason was that we didn't know much about what the brain actually did."
Vivek's interest in that profound mystery eventually led him to Caltech to study neuroscience. There, in Gilles Laurent's laboratory, he realized that insects were excellent models for studying how neural circuits process sensory information. One of his studies on locusts with colleague Mark Stopfer explored how the insect's olfactory neural circuitry represented the same odor at different intensities.
"Looking at the responses of a single neuron, a faint whiff of coffee might seem as different from a strong blast of coffee as, say, the scent of cherry. The question is how your brain nonetheless identifies the aroma as coffee, whether it's coming from the table across the room or the cup you're drinking from," he says.
Vivek used computational techniques to analyze the dynamics of ensembles of olfactory neurons in response to odors. The analysis, which allowed him to "decode" the ensemble responses much as the locust brain itself does, revealed consistent patterns not detectable when studying single neurons. Thus, for the system as a whole, different responses to different intensities of an odor are merely variations on a theme.
Vivek has continued to look at questions of neural representation at Janelia using the fruit fly as his model system. His entry into fruit fly research was sparked by the development of a method to electrically eavesdrop on individual neurons in the exposed brain of an intact fly—a remarkable technical achievement by Caltech colleagues Rachel Wilson and Glenn Turner. Vivek adapted this method to record from neurons electrically while optically monitoring their activity using fluorescent proteins under a specialized microscope. This was a first step toward performing such recordings while simultaneously observing the fly's behavior, he says.
At Janelia, his lab has pioneered techniques to perform optical imaging and electrophysiological recordings in behaving flies as they fly or walk on an air-supported ball in a controlled visual environment. Vivek and his colleagues are now using this combination of techniques to help turn the fruit fly into a premier model for understanding how neural circuitry processes sensory information and determines the choices that the fly makes. "We know something about how flies behave in and adapt to a multisensory environment, and have indications of which brain regions are involved in sensorimotor processing," he says. "But what kinds of computations do neurons in those regions perform to make the fly pick, for example, a ripe banana over a raw one? Understanding the intricacies of decision-making in numerically simpler systems can provide us with insights into the workings of more complex brains."
One key factor that makes the fruit fly a good neurophysiological and behavioral model is the ability to use genetic mutation to precisely alter the activity of selected neurons. At Janelia, he draws on the expertise in fly genetics of lab heads Gerry Rubin and Julie Simpson, and in fly behavior of lab head Michael Reiser.
However, says Vivek, fully harnessing the potential of the fruit fly as a model for neural information processing requires the ability to record from populations of neurons with high resolution, something that new imaging techniques are close to making possible. "Today, you can express sensors of neuronal activity in specific subsets of neurons and see them light up. The latest sensors developed by the Janelia’s GENIE team (a collaborative group that also includes lab heads Loren Looger and Karel Svoboda) can almost tell you how many spikes the neurons fired, and when." Vivek's current approach is to use imaging for the population-level perspective and electrical recordings for a higher resolution investigation of selected neurons.
Janelia offers a great opportunity to develop a fly model linking the dynamics of brain circuitry with behavior, says Vivek. "The appeal of Janelia for me is that I can work with people with expertise in fly genetics and behavior, imaging, computational analysis and protein design. Mine is not a safe project that will produce an immediate result," he says. "But at Janelia, there's more opportunity and freedom to think long-term, and to take such risks. The people here are thinking less about small-scale projects and quicker payoffs."