New study shows the mechanism of brain to recognize specific smells

NewsGuard 100/100 Score

An Italian-American research conducted by researchers at the IIT-Istituto Italiano di Tecnologia (Italian Institute of Technology) in Rovereto (Italy) and Harvard University in Boston (Usa) explains for the first time the mechanisms used by our brain to recognize specific smells.

The study, published in Nature, sheds new light on the brain processes involved in the continuous flow of information arriving from our senses, in particular from the sense of smell. Thanks to this result, researchers will be able to think about the realization of an artificial sense of smell, to be transferred to robots and other intelligent machines in the future.

If we talk about sight or hearing, scientists know quite well the mechanisms that lead us to distinguish two colors or two notes. This knowledge was translated into relatively well-established theories: we know which wavelength a neon must emit to appear red and which frequency an electronic keyboard must produce to make us hear a G. The same does not happen with odors: we are not able to say how a molecule smells just by looking at its chemical structure.

Imagine that you are at the restaurant, and you are having a sorbet with a pleasant citrus scent. If you are a chef you could use the olfactory information to understand whether they used lemon or lime, two fruits producing odorous molecules perceptively similar, but chemically different.

If you are not interested in the recipe you may simply notice that it is a citrus sorbet instead of a coffee sorbet. Which means, you will discard the small chemical differences between lemon and lime smells to generalize using the unique category of citrus.

It is not easy to flexibly choose between olfactory discrimination and generalization according to our experience and goals. Until now, scientists did not know the code used by our brain to smell a specific odor.

The new study answers this question for the first time. The team of Italian-American scientists, coordinated by Bob Datta of Harvard Medical School in Boston, identified the tricks used by the brain to discriminate and generalize odorous molecules having chemical structures with various levels of similarity.

The team includes two Italian research groups from the Center for Neuroscience and Cognitive Systems at IIT in Rovereto: the team of Giuliano Iurilli, who returned to Italy thanks to the Armenise Harvard Foundation, and the team of Stefano Panzeri, coordinator of the Center.

Iurilli, one of the project's main authors, acted as a "bridge" between Italy and the United States. After a PhD in Neuroscience and Robotics at IIT, he moved to Harvard in 2012 where he studied the brain mechanisms underlying the perception of odors and their effects on our daily behavior. In 2018, he won the Career Development Award from the Armenise Harvard Foundation, a million-dollar grant for 5 years that promotes basic biomedical research.

Thanks to these funds, Iurilli returned to Italy and started his neurophysiology laboratory at IIT in Rovereto. He brought with him a fundamental piece of research realized in Boston, and contributed to complete it with the Armenise Harvard grant. Bob Datta, lead author of the study, was also an Armenise Harvard awardee, being the Foundation's HMS Junior Faculty Grant winner in 2010 and 2016.

We developed ad hoc analysis methods and we saw that the sensory neurons in the nose capture the odorous molecules, analyzing them almost like chromatographs, machines that precisely describe the chemical differences between molecules."

Giuliano Iurilli, Project Author, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia

However, this precision only concerns the first "door" for the odors' recognition, namely the nose. But something changes when the information collected and processed by the nose arrives in a more central structure of the brain, called the olfactory cortex. At this stage, the odors' descriptions begin to "get personal", and they no longer respect chemical differences.

This is where memory comes into action. The new similarities described in the olfactory cortex are less about the chemistry and more about the subject's previous experiences. For example, if our nose is scenting an ethanol molecule and an octene-3-yl acetate molecule, our olfactory cortex simply registers the scent of a gentian schnapps if we have drunk one before.

"We found out that this happens because past experiences modify the way the neurons of the olfactory cortex exchange the chemical information they received from the nose - Giuliano Iurilli concludes - Now we can start thinking concretely about how to build an artificial brain that does the same thing in a robot".

In fact, this discovery could have a great impact to the field of robotics and artificial intelligence, through the realization of an artificial olfactory system. This intelligent system might be able to evaluate the safety of an environment or to recognize an object by quickly scenting the volatile molecules, just like a human being.

Source:
Journal reference:

Pashkovski, S. L., et al. (2020) Structure and flexibility in cortical representations of odour space. Nature. doi.org/10.1038/s41586-020-2451-1.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Researchers identify the most harmful modifiable risk factors for dementia