Field G D, Chichilnisky E J
The Salk Institute, La Jolla, California 92037, USA.
Annu Rev Neurosci. 2007;30:1-30. doi: 10.1146/annurev.neuro.30.051606.094252.
The function of any neural circuit is governed by connectivity of neurons in the circuit and the computations performed by the neurons. Recent research on retinal function has substantially advanced understanding in both areas. First, visual information is transmitted to the brain by at least 17 distinct retinal ganglion cell types defined by characteristic morphology, light response properties, and central projections. These findings provide a much more accurate view of the parallel visual pathways emanating from the retina than do previous models, and they highlight the importance of identifying distinct cell types and their connectivity in other neural circuits. Second, encoding of visual information involves significant temporal structure and interactions in the spike trains of retinal neurons. The functional importance of this structure is revealed by computational analysis of encoding and decoding, an approach that may be applicable to understanding the function of other neural circuits.
任何神经回路的功能都由回路中神经元的连接性以及神经元执行的计算所决定。最近关于视网膜功能的研究在这两个领域都取得了重大进展。首先,视觉信息通过至少17种不同类型的视网膜神经节细胞传递到大脑,这些细胞类型由特征形态、光反应特性和中枢投射所定义。与之前的模型相比,这些发现为源自视网膜的平行视觉通路提供了更为准确的观点,并且突出了识别其他神经回路中不同细胞类型及其连接性的重要性。其次,视觉信息的编码涉及视网膜神经元动作电位序列中的显著时间结构和相互作用。编码和解码的计算分析揭示了这种结构的功能重要性,这种方法可能适用于理解其他神经回路的功能。