Menu

Artificial Intelligence Mimics Navigation Cells in the Brain

An algorithm trained to move through a virtual environment spontaneously generated patterns of activity found in so-called grid neurons.

May 10, 2018
Diana Kwon

ISTOCK, MATJAZ SLANIC

A computer program can learn to navigate through space and spontaneously mimics the electrical activity of grid cells, neurons that help animals navigate their environments, according to a study published yesterday (May 9) in Nature.

“This paper came out of the blue, like a shot, and it’s very exciting,” Edvard Moser, a neuroscientist at the Kavli Institute for Systems Neuroscience in Norway who was not involved in the work, tells Nature in an accompanying news story. “It is striking that the computer model, coming from a totally different perspective, ended up with the grid pattern we know from biology.” Moser shared a Nobel Prize for the discovery of grid cells with neuroscientists May-Britt Moser and John O’Keefe in 2014.

When scientists trained an artificial neural network to navigate in the form of virtual rats through a simulated environment, they found that the algorithm produced patterns of activity similar to that found in the grid cells of the human brain. “We wanted to see whether we could set up an artificial network with an appropriate task so that it would actually develop grid cells,” study coauthor Caswell Barry of University College London, tells Quanta. “What was surprising was how well it worked.” 

The team then tested the program in a more-complex, maze-like environment, and found that not only did the virtual rats make their way to the end, they were also able to outperform a human expert at the task.

“It is doing the kinds of things that animals do and that is to take direct routes wherever possible and shortcuts when they are available,” coauthor Dharshan Kumaran, a senior researcher at Google’s AI company DeepMind, tells The Guardian.

DeepMind researchers hope to use these types of artificial neural networks to study other parts of the brain, such as those involved in understanding sound and controlling limbs, according to Wired. “This has proven to be extremely hard with traditional neuroscience so, in the future, if we could improve these artificial models, we could potentially use them to understand other brain functionalities,” study coauthor Andrea Banino, a research scientist at DeepMind, tells Wired. “This would be a giant step toward the future of brain understanding.”

See “Brain’s ‘Inner GPS’ Wins Nobel” 

January 2019

Cannabis on Board

Research suggests ill effects of cannabinoids in the womb

Marketplace

Sponsored Product Updates

pIC50: The Advantages of Thinking Logarithmically
pIC50: The Advantages of Thinking Logarithmically
Watch this webinar from Collaborative Drug Discovery to learn about how using pIC50 helps you get a better sense of the relative potencies, calculate the correct mean of multiple values, and select better sampling doses.
WIN a VIAFLO 96/384 to supercharge your microplate pipetting!
WIN a VIAFLO 96/384 to supercharge your microplate pipetting!
INTEGRA Biosciences is offering labs the chance to win a VIAFLO 96/384 pipette. Designed to simplify plate replication, plate reformatting or reservoir-to-plate transfers, the VIAFLO 96/384 allows labs without the space or budget for an expensive pipetting robot to increase the speed and throughput of routine tasks.
FORMULATRIX® digital PCR technology to be acquired by QIAGEN
FORMULATRIX® digital PCR technology to be acquired by QIAGEN
FORMULATRIX has announced that their digital PCR assets, including the CONSTELLATION® series of instruments, is being acquired by QIAGEN N.V. (NYSE: QGEN, Frankfurt Stock Exchange: QIA) for up to $260 million ($125 million upfront payment and $135 million of milestones).  QIAGEN has announced plans for a global launch in 2020 of a new series of digital PCR platforms that utilize the advanced dPCR technology developed by FORMULATRIX combined with QIAGEN’s expertise in assay development and automation.
Application of CRISPR/Cas to the Generation of Genetically Engineered Mice
Application of CRISPR/Cas to the Generation of Genetically Engineered Mice
With this application note from Taconic, learn about the power that the CRISPR/Cas system has to revolutionize the field of custom mouse model generation!