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Synaptic balancing guided by spike-timing-dependent plasticity in
olfactory cortex model
Mykola Lysetskiy and Jacek M. Zurada
University of Louisville
Synaptic balancing, based on the spike-timing-dependent synaptic
plasticity (STDP), has been recently shown to be able to drive a
neuron from integrator to coincident-time detector mode of operation,
maximizing the neuron's information transmission. The circuits of
pyramidal cells of piriform cortex are an example of a neural system
that may need such balancing, as these neurons are known to be
sensitive to the relative timing of the afferent and association input
signals. Not only piriform cortex is likely to be in need of such
STDP-based balancing, it also is, in a sense, an ideal "hardware"
for its implementation. Highly structured spatio-temporal dynamics of
the postsynaptic potentials at the dendrites of pyramidal cells could
be easily used in spike-time-dependent learning. We develop a model of
piriform cortex, which employs recently proposed principle of synaptic
balancing, based on the STDP learning rule with a larger window of
synaptic weakening. We argue that this phenomenon could take place in
this part of olfactory cortex and play a crucial role in learning
spatio-temporal sequences of the postsynaptic potentials at the
dendrites of the pyramidal cells.