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How feedback inhibition shapes spike-timing-dependent plasticity and its implications for recent Schizophrenia models

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Kolodziejski,  Christoph
Max Planck Research Group Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Citation

Porra, B., McCabea, L., di Prodia, P., Kolodziejski, C., & Wörgötter, F. (2011). How feedback inhibition shapes spike-timing-dependent plasticity and its implications for recent Schizophrenia models. Neurocomputational Models of Brain Disorders, 560-567. doi:10.1016/j.neunet.2011.03.004.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-117F-7
Abstract
It has been shown that plasticity is not a fixed property but, in fact, changes depending on the location of the synapse on the neuron and/or changes of biophysical parameters. Here, we investigate how plasticity is shaped by feedback inhibition in a cortical microcircuit. We use a differential Hebbian learning rule to model spike-timing-dependent plasticity and show analytically that the feedback inhibition shortens the time window for LTD during spike-timing-dependent plasticity but not for LTP. We then use a realistic GENESIS model to test two hypothesis about interneuron hypofunction and conclude that a reduction in GAD67 is the most likely candidate as the cause for hypofrontality as observed in Schizophrenia.