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1.
Neural Comput ; 23(7): 1768-89, 2011 Jul.
Article in English | MEDLINE | ID: mdl-21492013

ABSTRACT

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.


Subject(s)
Action Potentials/physiology , Models, Neurological , Neuronal Plasticity/physiology , Neurons/physiology , Entropy , Random Allocation , Reproducibility of Results , Time Factors
2.
Neural Comput ; 22(7): 1837-59, 2010 Jul.
Article in English | MEDLINE | ID: mdl-20235825

ABSTRACT

Neurons in the nervous system display a wide variety of plasticity processes. Among them are covariance-based rules and homeostatic plasticity. By themselves, the first ones tend to generate instabilities because of the unbounded potentiation of synapses. The second ones tend to stabilize the system by setting a target for the postsynaptic firing rate. In this work, we analyze the combined effect of these two mechanisms in a simple model of hypercolumn of the visual cortex. We find that the presence of homeostatic plasticity together with nonplastic uniform inhibition stabilizes the effect of Hebbian plasticity. The system can reach nontrivial solutions, where the recurrent intracortical connections are strongly modulated. The modulation is strong enough to generate contrast invariance. Moreover, this state can be reached even beginning from a weakly modulated initial condition.


Subject(s)
Action Potentials/physiology , Homeostasis/physiology , Models, Neurological , Nerve Net/physiology , Neuronal Plasticity/physiology , Neurons/physiology , Visual Cortex/physiology , Animals , Humans , Neural Inhibition/physiology , Neural Networks, Computer , Neural Pathways/physiology , Synaptic Transmission/physiology
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