Comisión Nacional de Energía Atómica and CONICET Centro Atómico Bariloche and Instituto Balseiro (UNC) 8400 San Carlos de Bariloche, RN, Argentina.
Neural Comput. 2010 Jul;22(7):1837-59. doi: 10.1162/neco.2010.07-09-1056.
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.
神经系统中的神经元表现出多种形式的可塑性过程。其中包括基于协方差的规则和动态平衡可塑性。由于突触的无限增强,第一种规则往往会产生不稳定性。第二种规则则通过为突触后发放率设定目标来稳定系统。在这项工作中,我们在视觉皮层超柱的简单模型中分析了这两种机制的综合效应。我们发现,动态平衡可塑性的存在与非可塑性均匀抑制一起稳定了赫布可塑性的效果。该系统可以达到非平凡的解,其中皮层内的回传连接受到强烈的调制。这种调制足以产生对比度不变性。此外,即使从初始条件较弱的调制开始,也可以达到这种状态。