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��ƷSM����ӰƬ will lead a groundbreaking starting this fall. The work is aimed at understanding how animals use information from odors in their environment to guide behavior, with far-ranging implications for our understanding of the human brain.

The network was announced Monday as part of the . Over the next five years, ��ƷSM����ӰƬ will be leading 16 scientists from 16 prestigious institutions around the world to better understand the brain and its evolution by reverse-engineering how it interprets odors. The project is funded by a $20.2 million award from the National Science Foundation, the Canadian Institutes of Health Research and the UK Research and Innovation Medical Research Council.

The network will examine all the steps involved in how an odor stimulus gets encoded by the brain and then activates the motor circuits to produce a behavioral response in an animal. The model species they will work with to do this, like fruit flies and mice, will make headway in understanding these same steps in humans.

There’s a lot of engineering involved in understanding what odors look like. In John Crimaldi's lab, he and his colleagues use lasers to track them. (Credit: Glenn Asakawa, ��ƷSM����ӰƬ) 

“The chemical sensing process (i.e. smell) evolved in the very earliest life forms on Earth,” said John Crimaldi, lead principal investigator on the network and professor in the Department of Civil, Environmental and Architectural Engineering at CU. “The idea here is that all brain evolution has taken place in the presence of chemical sensing. And so it's thought to be a primal portal from which to view brain function.”

While Crimaldi and ��ƷSM����ӰƬ have previously received significant awards to research how animals find the source of an odor, this project is much broader and aims to understand the whole brain and the mechanism that goes into a behavioral response to smelling something.

Crimaldi said smell is the least understood sense and that humans have struggled to replicate odor-based searches with machines. Doing so, however, would allow robots to take over treacherous duties instead of humans or dogs, unlocking a new area of advancement for autonomous systems. These robots could one day rescue a person buried in an avalanche, locate valuable natural resources, or find chemical weapons and explosives on their own, for example.

Keith Molenaar, interim dean of the College of Engineering and Applied Science, said the network was truly a special project and among the largest the college had ever been involved in. He said the work would result in transformational research around our understanding of the brain that could also lead to cures for diseases that connect to our sense of smell—or even understanding why loss of smell is a symptom of some diseases like COVID-19 among many other areas and across many different fields.

“The fact that an engineer, Professor John Crimaldi, is leading a group of neuroscientists, mathematicians and biologists, speaks to the truly interdisciplinary nature of the research,” Molenaar said.

The network is composed of three interdisciplinary research groups (IRGs) that form a loop in animal sensing and behavior. The first is focused on theoretical mathematics and mapping to better understand how the characteristics of smells are encoded in the brain. The second builds on this and will determine how the encoded odors produce a behavioral response. The third group will investigate how this behavioral response alters the animals’ perception of the odor it is sensing.

As an engineer, Crimaldi said he never expected to end up working in neuroscience but it turns out there’s a lot of engineering involved in understanding what odors look like. ; using lasers in a non-intrusive way to measure flows—like odors—through air and liquids. He’s looked at everything from why coral reproduction underwater is successful to how animals can tell where a smell is coming from.

“Life forms have evolved to take advantage of specific opportunities and constraints that are imposed by their physical environment,” Crimaldi said. “I like to say we don't just use physics to understand biology or ecology, or the brain. We also use evolutionary processes that have evolved in animals to help us understand details of what's going on in the physical world.”

Partners include Caltech, Penn State University, Duke University, Salk Institute, University of Utah, University of Pittsburgh, NYU School of Medicine, McGill University, Scripps Research, Arizona State University, Francis Crick Institute, University of Hertfordshire, Yale University and Weill Cornell. This grant is part of the NSF/CIHR/DFG/FRQ/UKRI-MRC Next Generation Networks for Neuroscience Program; the award number is DBI 2014217.