How whole groups of neurons work together to form Pavlovian classical conditioning of two stimuli was recently investigated by Stanford University researchers.
Mark Schnitzer, associate professor of biology and applied physics, who led the research, said:
“It’s been over 100 years since Pavlov did his amazing work but we still haven’t had a glimpse of how neural ensembles encode a long-term memory. This was an opportunity to examine that.”
The researchers worked with mice, focusing on the amygdala, a brain region known to be involved in learning that is extremely similar across species. They taught mice to associate a tone with a mild shock and found that, once the mice learned the association, the pattern of neurons that activated in response to tone alone resembled the pattern that activated in response to the shock.
Using Pavlov’s dogs as an analogy, this would mean that, as the dogs learned to associate the bell with the food, the neural network activation in their amygdalas would look similar whether they were presented with food or just heard the bell.
Survival Strategy
The results also revealed that the neurons never returned to their original state, even after the training was undone. Although this was not the main focus of the study, this research could have wide-ranging implications for studying emotional memory disorders, such as post-traumatic stress disorder (PTSD).
The researchers trained mice in the study to associate a tone with a light foot shock. At the beginning of the experiment, mice had no reaction to the tone, but would freeze in place in response to the light shock. After pairing the tone and the light shock a few times, the tone alone was enough to cause the mice to freeze in place.
“You can think of this type of learning as a survival strategy,” said Benjamin Grewe, lead author. “We need that as humans, animals need that. When we associate certain stimuli with their possible dangerous outcomes, it helps us to avoid dangerous situations in the first place.”
During the training, the researchers directly observed the activity of about 200 neurons in the amygdala. Using a miniature microscope – developed previously by the Schnitzer lab – to view neurons deep in the brain, they could observe activity of individual cells as well as of the entire ensemble.
What they found was that, as the mice learned to associate the tone with the shock, the set of cells that responded to the tone began to resemble those that responded to the shock itself.
“The two stimuli are both eliciting fear responses. It’s almost as if this part of the brain is blurring the lines between the two, in the sense that it’s using the same cells to encode them,”
said Schnitzer, who is also a Howard Hughes Medical Institute investigator.
Neural Ensemble Dynamics
The amount of change in how the group of neurons responded to the tone also predicted how much the mouse behavior would change. Mice whose amygdalas activated similarly in response to the tone and to the shock froze most consistently in response to the tone, by itself, 24 hours later.
“We managed, for the first time, to record the activity of a large network of neurons in the amygdala and did that with single cell resolution,” Grewe said. “So we knew what every single cell was doing.”
As part of the experiments, the team also undid the conditioning so that the mice stopped freezing in reaction to the tone. During this phase the neural response never completely returned to its original state.
The experiment to reverse the association was not designed to represent any human diseases or disorders, but this finding could potentially inform research into problems with emotional memory, such as generalized anxiety disorder or PTSD, where people may have difficulty dissociating neutral stimuli from negative ones. That kind of application, however, would likely be some years in the future.
Reference:
- Benjamin F. Grewe, Jan Gründemann, Lacey J. Kitch, Jerome A. Lecoq, Jones G. Parker, Jesse D. Marshall, Margaret C. Larkin, Pablo E. Jercog, Francois Grenier, Jin Zhong Li, Andreas Lüthi & Mark J. Schnitzer. Neural ensemble dynamics underlying a long-term associative memory Nature (2017) doi:10.1038/nature21682
Last Updated on September 26, 2023