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<p>Researchers have paired a deep learning model with experimental data to &ldquo;decode&rdquo; mouse neural activity. Using the method, they can accurately determine where a mouse is located within an open environment and which direction it is facing, just by looking at its neural firing patterns. Being able to decode neural activity could provide insight into the function and behavior of individual neurons or even entire brain regions. These findings, publishing February 22 in <em>Biophysical Journal</em>, could also inform the design of intelligent machines that currently struggle to navigate autonomously.</p>

Vasileios maroulaMaroulas vmaroulasCell press for the biophysical societyUs army research laboratoryUs army research labUniversity of tennessee knoxvilleMethod of researchBiophysical journalResearch laboratoryTopological deep learning frameworkNeural spikeCell pressBiophysical society