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Controlling Spike Timing and Synchrony in Oscillatory Neurons
Tyler Stigen1, Per Danzl, Jeff Moehlis
11University of Minnesota.
Abstract:
We describe an algorithm to control synchrony between two periodically firing neurons. The control scheme operates in real-time using a dynamic clamp platform. This algorithm is a low impact stimulation method that brings the neurons toward the desired level of synchrony over the course of several neuron firing periods. As a proof of principle, we demonstrate the versatility of the algorithm using real- time conductance models, and then show its performance with biological neurons of hippocampal region CA1 and entorhinal cortex.
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