Information flow in a neuronal circuit coding for space
Neuronal information flow depends on the temporal characteristics of activity patterns at the single-neuron and population level. Grid cells in the medial entorhinal cortex exhibit membrane-potential dynamics on multiple time scales during exploratory behavior – from slow ramps and theta-band activity to burst episodes with interspike-intervals as short as a few milliseconds. Combining in vitro techniques with computational modeling and mathematical analysis, we want to understand the single-cell and circuit mechanisms underlying these different dynamics. We will focus on how synaptic and intrinsic conductances interact to generate burst patterns, and on how these temporal activity patterns effect synaptic plasticity.