Noise-driven adaptation: in vitro and mathematical analysis
Noise-driven adaptation: in vitro and mathematical analysis
复制标题
DOI：
10.1016/s0925-2312(02)00819-6
复制
发表时间：
2003-06-01
期刊：
影响因子：
6
通讯作者：
Reyes, A
中科院分区：
文献类型：
--
作者：
Paninski, L;Lau, B;Reyes, A
方差适应过程最近已被检查在细胞的苍蝇视觉系统和各种脊椎动物的准备。为了更好地了解躯体机制对这种适应的贡献，我们在体外记录了大鼠感觉运动皮层神经元的细胞内活动。用噪声电流刺激细胞，噪声电流的标准偏差随参数变化。我们观察到系统方差依赖适应（定义为非线性传递函数的缩放）在许多方面类似于在体内观察到的效果。事实上，类似的适应性现象，看到在这样不同的准备工作，使我们调查一个简单的模型随机刺激驱动的神经活动。最简单的这种模型，由噪声电流驱动的泄漏积分和激发（LIF）细胞，允许我们分析计算许多与我们对适应的观察相关的量。我们表明，LIF模型显示“自适应”的行为，这是非常相似的在体内和体外观察到的效果。(C)2003 Elsevier Science B.V.保留所有权利。
Variance adaptation processes have recently been examined in cells of the fly visual system and various vertebrate preparations. To better understand the contributions of somatic mechanisms to this kind of adaptation, we recorded intracellularly in vitro from neurons of rat sensorimotor cortex. The cells were stimulated with a noise current whose standard deviation was varied parametrically. We observed systematic variance-dependent adaptation (defined as a scaling of a nonlinear transfer function) similar in many respects to the effects observed in vivo. The fact that similar adaptive phenomena are seen in such different preparations led us to investigate a simple model of stochastic stimulus-driven neural activity. The simplest such model, the leaky integrate-and-fire (LIF) cell driven by noise cur-rent, permits us to analytically compute many quantities relevant to our observations on adaptation. We show that the LIF model displays "adaptive" behavior which is quite similar to the effects observed in vivo and in vitro. (C) 2003 Elsevier Science B.V. All rights reserved.