Modeling the short-term dynamics of in vivo excitatory spike transmission

What is it about?

In the brain, information transmission relies on various factors like short-term changes at synapses and non-synaptic elements, such as changes in the neurons' excitability. We developed a mathematical model to understand how these factors work together in real-life situations. We used data from actively firing neurons obtained from experiments as the foundation for this model. Using it, we now better understand how signals are passed between neurons in different scenarios. We tested our model with actual recordings from different connections in the brain and found it worked well. This model can also help us explain why neurons transmit information differently when responding to different sounds in the brain. We also used this model with lots of recordings to see how different types of neurons transmit information. This approach may provide a novel description of fast, structured changes in spike transmission.

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