Paninski Liam, Fellows Matthew R, Hatsopoulos Nicholas G, Donoghue John P
Center for Neural Science, New York University, New York, New York 10003, USA.
J Neurophysiol. 2004 Jan;91(1):515-32. doi: 10.1152/jn.00587.2002. Epub 2003 Sep 17.
A pursuit-tracking task (PTT) and multielectrode recordings were used to investigate the spatiotemporal encoding of hand position and velocity in primate primary motor cortex (MI). Continuous tracking of a randomly moving visual stimulus provided a broad sample of velocity and position space, reduced statistical dependencies between kinematic variables, and minimized the nonstationarities that are found in typical "step-tracking" tasks. These statistical features permitted the application of signal-processing and information-theoretic tools for the analysis of neural encoding. The multielectrode method allowed for the comparison of tuning functions among simultaneously recorded cells. During tracking, MI neurons showed heterogeneity of position and velocity coding, with markedly different temporal dynamics for each. Velocity-tuned neurons were approximately sinusoidally tuned for direction, with linear speed scaling; other cells showed sinusoidal tuning for position, with linear scaling by distance. Velocity encoding led behavior by about 100 ms for most cells, whereas position tuning was more broadly distributed, with leads and lags suggestive of both feedforward and feedback coding. Individual cells encoded velocity and position weakly, with comparable amounts of information about each. Linear regression methods confirmed that random, 2-D hand trajectories can be reconstructed from the firing of small ensembles of randomly selected neurons (3-19 cells) within the MI arm area. These findings demonstrate that MI carries information about evolving hand trajectory during visually guided pursuit tracking, including information about arm position both during and after its specification. However, the reconstruction methods used here capture only the low-frequency components of movement during the PTT. Hand motion signals appear to be represented as a distributed code in which diverse information about position and velocity is available within small regions of MI.
采用追踪-跟踪任务(PTT)和多电极记录来研究灵长类动物初级运动皮层(MI)中手部位置和速度的时空编码。对随机移动的视觉刺激进行连续跟踪,提供了速度和位置空间的广泛样本,减少了运动学变量之间的统计相关性,并最大限度地减少了典型“阶梯跟踪”任务中出现的非平稳性。这些统计特征允许应用信号处理和信息论工具来分析神经编码。多电极方法允许比较同时记录的细胞之间的调谐函数。在跟踪过程中,MI神经元表现出位置和速度编码的异质性,每种编码的时间动态明显不同。速度调谐神经元对方向的调谐近似为正弦曲线,具有线性速度缩放;其他细胞对位置表现出正弦曲线调谐,按距离进行线性缩放。对于大多数细胞来说,速度编码比行为提前约100毫秒,而位置调谐分布更广泛,其超前和滞后表明存在前馈和反馈编码。单个细胞对速度和位置的编码较弱,关于两者的信息量相当。线性回归方法证实,随机的二维手部轨迹可以从MI臂区随机选择的小神经元集合(3-19个细胞)的放电中重建。这些发现表明,在视觉引导的追踪跟踪过程中,MI携带了关于不断变化的手部轨迹的信息,包括在手臂位置确定期间和之后的信息。然而,这里使用的重建方法只捕捉了PTT期间运动的低频成分。手部运动信号似乎以分布式代码的形式表示,其中关于位置和速度的各种信息在MI的小区域内可用。