Imagine sitting in your house when you hear a knock on your front door. You peer through the window and see a stranger outside. Almost immediately, your brain knows you鈥檝e never encountered this person before. Maybe you feel scared and pretend you鈥檙e not home.
Now instead of a stranger, imagine a close friend or family member is outside. Almost as soon as you see them, your brain knows you鈥檝e encountered this person many times in the past.
Your brain continually counts your experiences with a specific sight or smell. Even if you don鈥檛 remember all the details, this count influences how you initially respond to the situation鈥攚hether you avoid it or embrace it. Evolutionarily, this split-second response could mean the difference between life and death.
Scientists aren鈥檛 exactly sure how this process works in our brain. But now researcher Saket Navlakha at 黑料吃瓜资源 (CSHL) has created a new computational model based on fruit fly brain data that may bring us closer to the answer.
鈥淲e鈥檝e been studying the fruit fly brain for a while,鈥 Navlakha says. 鈥淚t has about a hundred thousand neurons, and many of the connections are known at the level of individual neurons and synapses. They give us a lens to understand how the brain works.鈥
In a paper published in Nature Communications, Navlakha and his team reviewed data from a 2017 study that imaged fruit fly brains as they were exposed to new and familiar odors.
Navlakha hypothesized that the insects could distinguish between four categories: something they were smelling for the first time, second time, third time, and something they had encountered many times before.
He created what he calls a 鈥1-2-3-many鈥 count sketch. Count sketches are used in computer science to provide a quick, approximate tally. For example, YouTube uses a count sketch to track how many times a video has been watched. Navlakha suspected living organisms might do the same thing. He says:
鈥淲e took inspiration from a classic computer science method to solve this problem. A variant of this method was actually used by fruit flies to solve the same problem for tracking the number of times they experienced different odors.鈥
Humans may use a similar, if more complex, counting system. Navlakha explains this is an area for future research:
鈥淧eople haven鈥檛 done the equivalent of this type of memory test in humans. We鈥檇 like to see if this model can also explain human memory counting [abilities] and how this computation may be affected in Alzheimer鈥檚 or Parkinson鈥檚.鈥
Written by: Margaret Osborne, Science Writer | [email protected] | 516-367-8455
Funding
Pew Charitable Trusts, National Institute on Deafness and Other Communication Disorders, Simons Center for Quantitative Biology at 黑料吃瓜资源
Citation
Dasgupta, S., et al., 鈥淎 neural theory for counting memories鈥, Nature Communications, October 10, 2022. DOI:
Principal Investigator

Saket Navlakha
Associate Professor
Ph.D., University of Maryland College Park, 2011
