The book of GENESIS (2nd ed.): exploring realistic neural models with the GEneral NEural SImulation System
Isotropic sequence order learning
Neural Computation
Developing velocity sensitivity in a model neuron by local synaptic plasticity
Biological Cybernetics
Adaptive synchronization of activities in a recurrent network
Neural Computation
The spike response model: a framework to predict neuronal spike trains
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
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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.