Arabzadeh Ehsan, Petersen Rasmus S, Diamond Mathew E
Cognitive Neuroscience Sector, International School for Advanced Studies, 34014 Trieste, Italy.
J Neurosci. 2003 Oct 8;23(27):9146-54. doi: 10.1523/JNEUROSCI.23-27-09146.2003.
Rats, using their whiskers, have excellent capabilities in texture discrimination. What is the representation of texture in rat somatosensory cortex? We hypothesize that as rats "whisk" over a surface, the spatial frequency of a grooved or pebbled texture is converted to a temporal frequency of whisker vibration. Surface features such as groove depth or grain size modulate the amplitude of this vibration. Validation of the hypothesis depends on showing that vibration parameters have distinct neuronal representations in cortex. To test this, we delivered sinusoidal vibrations to the whisker shaft and analyzed cortical neuronal activity. Seven amplitudes and seven frequencies were combined to construct 49 stimuli while recording activity through a 10 x 10 microelectrode array inserted into the middle layers of barrel cortex. We find that cortical neurons do not explicitly encode vibration frequency (f) or amplitude (A) by any coding measure (average spike counts over different time windows, spike timing patterns in the peristimulus time histograms or in autocorrelograms). Instead, neurons explicitly encode the product of frequency and amplitude, which is proportional to the mean speed of the vibration. The quantity Af is an invariant because neuronal response encodes this feature independently of the values of the individual terms A and f. This was true across a wide time scale of firing rate measurements, from 5 to 500 msec. We conclude that vibration kinetics are rapidly and reliably encoded in the firing rate of cortical ensembles. Therefore, the cortical representation of vibration speed could underlie texture discrimination.
大鼠利用它们的胡须在质地辨别方面具有出色的能力。在大鼠体感皮层中质地是如何呈现的呢?我们假设,当大鼠用胡须扫过一个表面时,有凹槽或有小颗粒的质地的空间频率会转换为胡须振动的时间频率。诸如凹槽深度或颗粒大小等表面特征会调节这种振动的幅度。对这一假设的验证取决于证明振动参数在皮层中有不同的神经元表征。为了对此进行测试,我们向胡须杆施加正弦振动并分析皮层神经元活动。将七个振幅和七个频率组合起来构建49种刺激,同时通过插入桶状皮层中层的10×10微电极阵列记录活动。我们发现,皮层神经元不会通过任何编码方式(不同时间窗口内的平均尖峰计数、刺激时间直方图或自相关图中的尖峰时间模式)明确编码振动频率(f)或振幅(A)。相反,神经元会明确编码频率和振幅的乘积,该乘积与振动的平均速度成正比。量Af是一个不变量,因为神经元反应独立于单个项A和f的值对这一特征进行编码。在从5到500毫秒的广泛放电率测量时间尺度上都是如此。我们得出结论,振动动力学在皮层神经元集群的放电率中被快速且可靠地编码。因此,振动速度的皮层表征可能是质地辨别的基础。