Reading rats' minds
Scientists can predict where a rat will go next based on how its hippocampal neurons fire — study published in Neuron
Credit: IST Austria/Birgit Rieger
Place cells in the hippocampus fire when we are in a certain position – this discovery by John O’Keefe, May-Britt Moser and Edvard Moser brought them the Nobel Prize in Medicine in 2014. Based on which place cell fires, scientists can determine were a rat is. Neuroscientists are now able to tell where a rat will go next, just from observing which neuron fires in a task that tests rats’ reference memory. These are the results of a study published today in Neuron, carried out by the group of Jozsef Csicsvari at the Institute of Science and Technology Austria (IST Austria), with first author and postdoc Haibing Xu, and Csicsvari’s former postdocs Peter Baracskay and Joseph O’Neill, now faculty at Cardiff University.
Scientists can infer a rat’s location based on which place cell – found in the brain region called hippocampus – sends signals. However, sometimes the place cell that is active does not correspond with the rat’s current location. “This gives us an insight into what the animal is thinking about space”, says Jozsef Csicsvari. “We used this concept to understand how rats think during tasks that test their spatial memory.”
In the experiments, rats navigated through a maze with eight arms. Three arms contained food rewards. The rats revisited the maze so that they formed memories of where the rewards were hidden. This task teases apart two different forms of spatial memory: reference and working memory. Reference memory is the memory that allows a rat to remember which arms contain rewards, and which arms don’t. Working memory is the memory that keeps track of which arms the rat hasn’t been to yet and which ones it has already visited, so that the rat doesn’t make unnecessary trips. The researchers can test pure working memory by modifying the experiment so that only arms that contain rewards are open, or pure reference memory by closing off arms that have been visited already.
The researchers then asked: how do place cells fire when rats navigate a maze, and how does firing differ between reference and working memory tasks? At the center of the maze, before the rat enters the next arm, the sequence of place cells that fire corresponds either to the route the rat took in the last arm it visited, or to the arm it is going to run down next. In tasks testing reference memory, the sequence corresponds to the next maze arm the rat will visit, giving the researchers a glimpse into the rat’s immediate plans. “The animal is thinking about a different place than the one it is in. In fact, we can predict which arm the rat will enter next”, Csicsvari explains.
Not only can the researchers predict where the rat will go next, they also know when the rat will make a mistake, says Csicsvari: “When the rat makes a mistake, it replays a random route. Based on the place cells, we can predict that the rat will make a mistake before it commits it.” However, the prediction fails in working memory tasks. In tasks that test only working memory, the firing pattern instead replays the last arm that the animal visited.
The researchers hypothesize that the brain uses different strategies to solve reference and working memory tasks. “With reference memory, the brain truly navigates and remembers that ‘this is a location I have to go to’. This uses the hippocampus, which is important for spatial tasks. Working memory is more abstract, each location is an item on the animal’s list of places to visit. The hippocampus probably signals to the prefrontal cortex where the rat was, and the prefrontal cortex keeps track of which items it can tick off”, Csicsvari summarizes.
About IST Austria
The Institute of Science and Technology (IST Austria) is a PhD-granting research institution located in Klosterneuburg, 18 km from the center of Vienna, Austria. Inaugurated in 2009, the Institute is dedicated to basic research in the natural and mathematical sciences. IST Austria employs professors on a tenure-track system, postdoctoral fellows, and doctoral students. While dedicated to the principle of curiosity-driven research, the Institute owns the rights to all scientific discoveries and is committed to promote their use. The first president of IST Austria is Thomas A. Henzinger, a leading computer scientist and former professor at the University of California in Berkeley, USA, and the EPFL in Lausanne, Switzerland. The graduate school of IST Austria offers fully-funded PhD positions to highly qualified candidates with a bachelor’s or master’s degree in biology, neuroscience, mathematics, computer science, physics, and related areas. http://www.
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