Neuroscientists have discovered a novel mechanism for memory formation. Voltage-sensitive dye imaging of the swim motor program of the sea slug Tritonia reveals that some neurons possess characteristics that predispose them to join neural networks in which learning is taking place. The findings represent a shift from the field’s long-term focus on synaptic plasticity.
“In a prior study, we discovered neurons, whose participation in networks varies on a moment-to-moment basis, displaying a surprising ambivalence about their commitment to the network’s function,” said Prof William Frost. “At the time, we didn’t know why the nervous system would contain neurons that behave this way. Here we find that such variably-affiliated neurons appear to be pre-positioned for rapid recruitment into memories.”
The discovery represents a shift from the field’s long-term focus on synaptic plasticity – changes in the strength of the connections between neurons in response to learning – toward a view that certain neurons have characteristics that predispose them to join memories.
The study, which examined neural networks in the sea slug Tritonia, went on to track the same neurons as the memory faded, and found that the network didn’t simply return to its pre-training state. Instead, many of the new neurons stayed with the network and some of the original neurons departed. So even though all behavioral evidence of learning was gone, the network was left in an altered state, possibly revealing the presence of a latent memory.
In a key experiment, the team isolated a potential mechanism driving memory formation. Driving 2 specific neurons in the same way they fire during learning, researchers implanted a false memory. “The animal displayed a learned response, even though it had no actual experience,” said Evan Hill, PhD, the study’s lead author.
Insights into the mechanisms controlling neuron reassignment could contribute to the development of new strategies for nudging neurons into functional circuits following brain injury, Frost said. http://www.eurekalert.org/pub_releases/2015-11/rfuo-wam110215.php
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