Seung H Sebastian
Howard Hughes Medical Institute, Brain and Cognitive Sciences Department, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Neuron. 2009 Apr 16;62(1):17-29. doi: 10.1016/j.neuron.2009.03.020.
Many theories of neural networks assume rules of connection between pairs of neurons that are based on their cell types or functional properties. It is finally becoming feasible to test such pairwise models of connectivity, due to emerging advances in neuroanatomical techniques. One method will be to measure the functional properties of connected pairs of neurons, sparsely sampling pairs from many specimens. Another method will be to find a "connectome," a dense map of all connections in a single specimen, and infer functional properties of neurons through computational analysis. For the latter method, the most exciting prospect would be to decode the memories that are hypothesized to be stored in connectomes.
许多神经网络理论假定神经元对之间的连接规则是基于它们的细胞类型或功能特性。由于神经解剖学技术的新进展，最终测试这种成对的连接模型变得可行。一种方法是测量相连神经元对的功能特性，从许多标本中稀疏地采样成对神经元。另一种方法是找到一个“连接组”，即单个标本中所有连接的密集图谱，并通过计算分析推断神经元的功能特性。对于后一种方法，最令人兴奋的前景将是解码假定存储在连接组中的记忆。
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