Neural Comput - Spike-timing-dependent plasticity and reliability optimization: the role of neuron dynamics.

Tópicos

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Resumo

Plastic changes in synaptic efficacy can depend on the time ordering of presynaptic and postsynaptic spikes. This phenomenon is called spike-timing-dependent plasticity (STDP). One of the most striking aspects of this plasticity mechanism is that the STDP windows display a great variety of forms in different parts of the nervous system. We explore this issue from a theoretical point of view. We choose as the optimization principle the minimization of conditional entropy or maximization of reliability in the transmission of information. We apply this principle to two types of postsynaptic dynamics, designated type I and type II. The first is characterized as being an integrator, while the second is a resonator. We find that, depending on the parameters of the models, the optimization principle can give rise to a wide variety of STDP windows, such as antisymmetric Hebbian, predominantly depressing or symmetric with one positive region and two lateral negative regions. We can relate each of these forms to the dynamical behavior of the different models. We also propose experimental tests to assess the validity of the optimization principle.

Resumo Limpo

plastic chang synapt efficaci can depend time order presynapt postsynapt spike phenomenon call spiketimingdepend plastic stdp one strike aspect plastic mechan stdp window display great varieti form differ part nervous system explor issu theoret point view choos optim principl minim condit entropi maxim reliabl transmiss inform appli principl two type postsynapt dynam design type type ii first character integr second reson find depend paramet model optim principl can give rise wide varieti stdp window antisymmetr hebbian predomin depress symmetr one posit region two later negat region can relat form dynam behavior differ model also propos experiment test assess valid optim principl

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