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Circuit mechanisms of experience-dependent hippocampal representations - Jeffrey Magee

Wu Tsai MBCT, Jeffrey Magee
February 27, 2019 - 1:10pm to 2:50pm
Mackenzie Room, Huang Engineering

Jeffrey Magee

Baylor College of Medicine

 

Abstract 

We have examined the microcircuit mechanisms of place fields using whole-cell voltage recordings from hippocampal CA1 neurons in mice running on a linear track. We found that CA1 cells receive a constant barrage of excitatory input from thousands of presynaptic cells that are tuned to all features of the environment and that a novel form of synaptic plasticity (BTSP), induced in as few as a single trial by dendritic Ca2+ spikes and operating over a many seconds long asymmetric time course, selects a particular subset of excitatory inputs by strengthening their synaptic weights. In addition, a constant level of un-tuned inhibition counter acts the barrage of un-potentiated input thus suppressing a potential source of “noise”. The time course of the plasticity produces predictive place fields whose center of mass and peak firing is actually tens of centimeters before the location where they were induced and the induction mechanism (dendritic plateau potential) appears to make this a non-autonomous form of one-trial learning allowing experience to shape the CA1 representation. Together these data indicate that the hippocampus functions as an experience-dependent world model that outputs predictions about the environment ~1 second ahead of the animal.