Researchers discover network of cells that appears to play crucial role in experience
Researchers at the Kavli Institute for Systems Neuroscience in Norway have discovered a network of brain cells that expresses our sense of time within experiences and memories.
“This network provides timestamps for events and keeps track of the order of events within an experience,” says Professor Edvard Moser, Nobel laureate and director of the Kavli Institute, which is based at the Norwegian University of Science and Technology (NTNU). This area of the brain where time is experienced is located right next to the area that codes for space.
Telling time
Clocks are devices created by humans to measure time. By social contract, we agree to coordinate our own activities according to clock time. Nevertheless, your brain does not perceive the duration in time with the standardized units of minutes and hours on your wristwatch. The signature of time in our experiences and memories belongs to a different kind of temporality altogether.
Over the course of evolution, living organisms including humans have developed multiple biological clocks to help us keep track of time. What separates the brain’s various timekeepers is not only the scale of time that is measured, but also the phenomena the neural clocks are tuned to. Some timekeepers are set by external processes, like the circadian clock that is tuned to the rise and fall of daylight. This clock helps organisms adapt to the rhythms of a day.
Other timekeepers are set by phenomena of more intrinsic origins, like the hippocampal time cells that form a domino-like chain signal that tracks time spans up to 10 seconds precisely. Today we know a great deal about the brain’s mechanisms for measuring small timescales like seconds. Little is known, however, about the timescale the brain uses to record our experiences and memories, which can last anywhere from seconds to minutes to hours.
A Neural Clock for Experienced Time
A neural clock that keeps track of time during experiences is precisely what Albert Tsao and his colleagues at NTNU’s Kavli Institute for Systems Neuroscience believe they have discovered. By recording from a population of brain cells the researchers identified a strong time-coding signal deep inside the brain.
“Our study reveals how the brain makes sense of time as an event is experienced,” says Tsao. “The network does not explicitly encode time. What we measure is rather a subjective time derived from the ongoing flow of experience.”
The neural clock operates by organizing the flow of our experiences into an orderly sequence of events. This activity gives rise to the brain’s clock for subjective time. Experience, and the succession of events within experience, are thus the substance of which subjective time is generated and measured by the brain.
Time Space and Memory in the Brain
“Today, we have a fairly good understanding of the way our brains process space whereas our knowledge of time is less coherent,” Professor Moser says. “Space in the brain is relatively easy to investigate. It consists of specialized cell types that are dedicated to specific functions. Together they constitute the nuts and bolts of the system.”
In 2005, May-Britt and Edvard Moser discovered grid cells which map our environment at different scales by dividing space into hexagonal units. In 2014, The Mosers shared the Nobel Prize in Physiology or Medicine with their colleague and mentor John O”Keefe at University College London for their discoveries of cells that constitute the brain’s positioning system.
In 2007, inspired by the Mosers’ discovery of spatially coding grid cells, then-Kavli Institute Ph.D. candidate Albert Tsao set out to crack the code of what was happening in the enigmatic lateral entorhinal cortex (LEC). This area of the brain is right next to the medial entorhinal cortex (MEC), where his supervisors, the Mosers, had discovered grid cells. “I was hoping to find a similar key operating cell that would reveal the functional identity of this neural network,” Tsao says. The task proved to be a time-consuming project.
“There didn’t seem to be a pattern to the activity of these cells. The signal changed all the time, says Professor Moser. It was only in the last couple of years that the researchers began to suspect that the signal was indeed changing with time. Suddenly the recoded data started to make sense.
“Time is a non-equilibrial process. It is always unique and changing,” Professor Moser says. “If this network was indeed coding for time, the signal would have to change with time in order to record experiences as unique memories.”
Technological advancements
The Mosers needed only to decode the signal of one single grid cell to discover how space is encoded in the in the medial entorhinal cortex. Decoding time in the lateral entorhinal cortex proved to be a more complex task. It was only when looking at activity from hundreds of cells that Tsao and his colleagues were able to see that the signal encoded time.
“The activity in these neural networks is so distributed that the mechanism itself probably lies in the structure of connectivity within the networks. The fact that it can be shaped into various unique patterns implies a high level of plasticity,” Professor Moser says. “I believe distributed networks and the combination of structures of activity may deserve more attention in the future. With this work, we have found an area with activity so strongly relating to the time of an event or experience, it may open up a whole new research field.”
The Shape of Time
The structure of time has long been a disputed topic by philosophers and physicists alike. What can the newly discovered brain’s mechanism for episodic time tell us about how we perceive time? Is our perception of time linear resembling a flowing river, or cyclical like a wheel or a helix? Data from the Kavli study suggest both are correct, and that the signal in the time-coding network can take on many forms depending on the experience.
In 2016, Ph.D. candidate Jørgen Sugar joined the Kavli project to perform a new set of experiments that would test the hypothesis that the LEC network coded for episodic time. In one experiment, a rat was introduced to a wide range of experiences and options for action. It was free to run around, investigate and chase bits of chocolate while visiting a series of open space environments.
“The uniqueness of the time signal during this experiment suggests that the rat had a very good record of time and temporal sequence of events throughout the two hours the experiment lasted,” Sugar says. “We were able to use the signal from the time-coding network to track exactly when in the experiment various events had occurred.”
In the second experiment, the task was more structured with a narrower range of experiences and options for action. The rat was trained to chase after bits of chocolate while turning left or right in a figure-eight maze.
“With this activity, we saw the time-coding signal change character from unique sequences in time to a repetitive and partly overlapping pattern,” Tsao says. “On the other hand, the time signal became more precise and predictable during the repetitive task. The data suggest that the rat had a refined understanding of temporality during each lap, but a poor understanding of time from lap to lap and from the start to end throughout the experiment.”
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