Reconstruction of natural scenes from ensemble responses in the lateral geniculate nucleus

被引:157
作者
Stanley, GB [1 ]
Li, FF [1 ]
Dan, Y [1 ]
机构
[1] Univ Calif Berkeley, Dept Mol & Cell Biol, Div Neurobiol, Berkeley, CA 94720 USA
关键词
LGN; reconstruction; natural scenes; ensemble responses; cat; visual system;
D O I
10.1523/jneurosci.19-18-08036.1999
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A major challenge in studying sensory processing is to understand the meaning of the neural messages encoded in the spiking activity of neurons. From the recorded responses in a sensory circuit, what information can we extract about the outside world? Here we used a linear decoding technique to reconstruct spatiotemporal visual inputs from ensemble responses in the lateral geniculate nucleus (LGN) of the cat. From the activity of 177 cells, we have reconstructed natural scenes with recognizable moving objects. The quality of reconstruction depends on the number of cells. For each point in space, the quality of reconstruction begins to saturate at six to eight pairs of on and off cells, approaching the estimated coverage factor in the LGN of the cat. Thus, complex visual inputs can be reconstructed with a simple decoding algorithm, and these analyses provide a basis for understanding ensemble coding in the early visual pathway.
引用
收藏
页码:8036 / 8042
页数:7
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