Foffani Guglielmo, Chapin John K, Moxon Karen A
School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, Pennsylvania 19104, USA.
J Neurophysiol. 2008 Jul;100(1):268-80. doi: 10.1152/jn.01015.2007. Epub 2008 Apr 9.
Computational studies are challenging the intuitive view that neurons with broad tuning curves are necessarily less discriminative than neurons with sharp tuning curves. In the context of somatosensory processing, broad tuning curves are equivalent to large receptive fields. To clarify the computational role of large receptive fields for cortical processing of somatosensory information, we recorded ensembles of single neurons from the infragranular forelimb/forepaw region of the rat primary somatosensory cortex while tactile stimuli were separately delivered to different locations on the forelimbs/forepaws under light anesthesia. We specifically adopted the perspective of individual columns/segregates receiving inputs from multiple body location. Using single-trial analyses of many single-neuron responses, we obtained two main results. 1) The responses of even small populations of neurons recorded from within the same estimated column/segregate can be used to discriminate between stimuli delivered to different surround locations in the excitatory receptive fields. 2) The temporal precision of surround responses is sufficiently high for spike timing to add information over spike count in the discrimination between surround locations. This surround spike-timing code (i) is particularly informative when spike count is ambiguous, e.g., in the discrimination between close locations or when receptive fields are large, (ii) becomes progressively more informative as the number of neurons increases, (iii) is a first-spike code, and (iv) is not limited by the assumption that the time of stimulus onset is known. These results suggest that even though large receptive fields result in a loss of spatial selectivity of single neurons, they can provide as a counterpart a sophisticated temporal code based on latency differences in large populations of neurons without necessarily sacrificing basic information about stimulus location.
计算研究正在挑战一种直观的观点,即具有宽调谐曲线的神经元必然比具有尖锐调谐曲线的神经元辨别能力更差。在躯体感觉处理的背景下,宽调谐曲线等同于大的感受野。为了阐明大感受野在躯体感觉信息皮层处理中的计算作用,我们在轻度麻醉下,将触觉刺激分别施加到大鼠初级躯体感觉皮层颗粒下层前肢/前爪区域的不同位置时,记录了单个神经元的集合。我们特别采用了从多个身体部位接收输入的单个柱/分离区的视角。通过对许多单个神经元反应的单试次分析,我们得到了两个主要结果。1)即使是从同一估计柱/分离区内记录的少量神经元的反应,也可用于区分施加到兴奋性感受野中不同周边位置的刺激。2)周边反应的时间精度足够高,以至于在区分周边位置时,峰电位时间比峰电位计数能增加更多信息。这种周边峰电位时间编码(i)在峰电位计数不明确时,例如在区分相近位置或感受野较大时,特别具有信息性;(ii)随着神经元数量的增加,其信息性逐渐增强;(iii)是一种初峰编码;(iv)不受刺激起始时间已知这一假设的限制。这些结果表明,即使大感受野会导致单个神经元空间选择性丧失,但它们可以作为一种对应物,提供一种基于大量神经元潜伏期差异的复杂时间编码,而不一定会牺牲关于刺激位置的基本信息。