Hospedales Timothy M, van Rossum Mark C W, Graham Bruce P, Dutia Mayank B
Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, Edinburgh EH1 2QL, U.K.
Neural Comput. 2008 Mar;20(3):756-78. doi: 10.1162/neco.2007.09-06-339.
The vestibulo-ocular reflex (VOR) is characterized by a short-latency, high-fidelity eye movement response to head rotations at frequencies up to 20 Hz. Electrophysiological studies of medial vestibular nucleus (MVN) neurons, however, show that their response to sinusoidal currents above 10 to 12 Hz is highly nonlinear and distorted by aliasing for all but very small current amplitudes. How can this system function in vivo when single cell response cannot explain its operation? Here we show that the necessary wide VOR frequency response may be achieved not by firing rate encoding of head velocity in single neurons, but in the integrated population response of asynchronously firing, intrinsically active neurons. Diffusive synaptic noise and the pacemaker-driven, intrinsic firing of MVN cells synergistically maintain asynchronous, spontaneous spiking in a population of model MVN neurons over a wide range of input signal amplitudes and frequencies. Response fidelity is further improved by a reciprocal inhibitory link between two MVN populations, mimicking the vestibular commissural system in vivo, but only if asynchrony is maintained by noise and pacemaker inputs. These results provide a previously missing explanation for the full range of VOR function and a novel account of the role of the intrinsic pacemaker conductances in MVN cells. The values of diffusive noise and pacemaker currents that give optimal response fidelity yield firing statistics similar to those in vivo, suggesting that the in vivo network is tuned to optimal performance. While theoretical studies have argued that noise and population heterogeneity can improve coding, to our knowledge this is the first evidence indicating that these parameters are indeed tuned to optimize coding fidelity in a neural control system in vivo.
前庭眼反射(VOR)的特点是对频率高达20Hz的头部旋转有短潜伏期、高保真的眼球运动反应。然而,对内侧前庭核(MVN)神经元的电生理研究表明,除了非常小的电流幅度外,它们对高于10至12Hz的正弦电流的反应是高度非线性的,并且会因混叠而失真。当单细胞反应无法解释其运作时,这个系统在体内是如何发挥作用的呢?在这里,我们表明,必要的宽VOR频率响应可能不是通过单个神经元对头速度的发放率编码来实现的,而是通过异步发放、具有内在活性的神经元的群体综合反应来实现的。扩散性突触噪声和MVN细胞的起搏器驱动的内在发放,在广泛的输入信号幅度和频率范围内,协同维持模型MVN神经元群体中的异步、自发发放。通过模仿体内前庭连合系统的两个MVN群体之间的相互抑制联系,进一步提高了反应保真度,但前提是异步性由噪声和起搏器输入维持。这些结果为VOR功能的全范围提供了一个以前缺失的解释,并对MVN细胞中内在起搏器电导的作用给出了一个新的解释。给出最佳反应保真度的扩散噪声和起搏器电流的值产生的发放统计数据与体内的相似,这表明体内网络被调整到最佳性能。虽然理论研究认为噪声和群体异质性可以改善编码,但据我们所知,这是第一个证据表明这些参数确实被调整以优化体内神经控制系统中的编码保真度。