Department of Biomedical Engineering, Northwestern University, Evanston, Illinois, USA.
PLoS Comput Biol. 2011 Apr;7(4):e1001120. doi: 10.1371/journal.pcbi.1001120. Epub 2011 Apr 7.
In all sensory modalities, the data acquired by the nervous system is shaped by the biomechanics, material properties, and the morphology of the peripheral sensory organs. The rat vibrissal (whisker) system is one of the premier models in neuroscience to study the relationship between physical embodiment of the sensor array and the neural circuits underlying perception. To date, however, the three-dimensional morphology of the vibrissal array has not been characterized. Quantifying array morphology is important because it directly constrains the mechanosensory inputs that will be generated during behavior. These inputs in turn shape all subsequent neural processing in the vibrissal-trigeminal system, from the trigeminal ganglion to primary somatosensory ("barrel") cortex. Here we develop a set of equations for the morphology of the vibrissal array that accurately describes the location of every point on every whisker to within ±5% of the whisker length. Given only a whisker's identity (row and column location within the array), the equations establish the whisker's two-dimensional (2D) shape as well as three-dimensional (3D) position and orientation. The equations were developed via parameterization of 2D and 3D scans of six rat vibrissal arrays, and the parameters were specifically chosen to be consistent with those commonly measured in behavioral studies. The final morphological model was used to simulate the contact patterns that would be generated as a rat uses its whiskers to tactually explore objects with varying curvatures. The simulations demonstrate that altering the morphology of the array changes the relationship between the sensory signals acquired and the curvature of the object. The morphology of the vibrissal array thus directly constrains the nature of the neural computations that can be associated with extraction of a particular object feature. These results illustrate the key role that the physical embodiment of the sensor array plays in the sensing process.
在所有感觉模态中,神经系统获取的数据都受到外围感觉器官的生物力学、材料特性和形态的影响。大鼠触须(胡须)系统是神经科学中研究传感器阵列的物理体现与感知相关的神经回路之间关系的主要模型之一。然而,到目前为止,还没有对触须阵列的三维形态进行特征描述。定量描述阵列形态很重要,因为它直接约束了在行为过程中产生的机械感觉输入。这些输入反过来又塑造了触须-三叉神经系统中的所有后续神经处理,从三叉神经节到初级体感(“桶状”)皮层。在这里,我们开发了一组触须阵列形态的方程式,可以准确地描述每根胡须上每一点的位置,误差在胡须长度的±5%以内。只需知道胡须的身份(在阵列中的行和列位置),这些方程式就可以确定胡须的二维(2D)形状以及三维(3D)位置和方向。这些方程式是通过对六个大鼠触须阵列的二维和三维扫描进行参数化而开发的,并且参数是专门选择的,与行为研究中通常测量的参数一致。最终的形态模型用于模拟当大鼠使用其胡须以触觉方式探索具有不同曲率的物体时产生的接触模式。模拟结果表明,改变阵列的形态会改变所获取的感觉信号与物体曲率之间的关系。因此,触须阵列的形态直接约束了可以与特定物体特征提取相关联的神经计算的性质。这些结果说明了传感器阵列的物理体现在传感过程中起着关键作用。