Chang Le, Tsao Doris Y
Division of Biology and Biological Engineering, Computation and Neural Systems, Caltech, Pasadena, CA 91125, USA.
Division of Biology and Biological Engineering, Computation and Neural Systems, Caltech, Pasadena, CA 91125, USA; Howard Hughes Medical Institute, Pasadena, CA 91125, USA.
Cell. 2017 Jun 1;169(6):1013-1028.e14. doi: 10.1016/j.cell.2017.05.011.
Primates recognize complex objects such as faces with remarkable speed and reliability. Here, we reveal the brain's code for facial identity. Experiments in macaques demonstrate an extraordinarily simple transformation between faces and responses of cells in face patches. By formatting faces as points in a high-dimensional linear space, we discovered that each face cell's firing rate is proportional to the projection of an incoming face stimulus onto a single axis in this space, allowing a face cell ensemble to encode the location of any face in the space. Using this code, we could precisely decode faces from neural population responses and predict neural firing rates to faces. Furthermore, this code disavows the long-standing assumption that face cells encode specific facial identities, confirmed by engineering faces with drastically different appearance that elicited identical responses in single face cells. Our work suggests that other objects could be encoded by analogous metric coordinate systems. PAPERCLIP.
灵长类动物能够以惊人的速度和可靠性识别诸如面孔等复杂物体。在这里,我们揭示了大脑中面部识别的编码。对猕猴的实验表明,面部与面部区域细胞反应之间存在一种极其简单的转换。通过将面孔格式化为高维线性空间中的点,我们发现每个面部细胞的放电率与传入面部刺激在该空间中单个轴上的投影成正比,这使得一组面部细胞能够编码空间中任何面孔的位置。利用这一编码,我们能够从神经群体反应中精确解码面孔,并预测对面孔的神经放电率。此外,这一编码推翻了长期以来的假设,即面部细胞编码特定的面部特征,这一点通过构建外观差异极大但在单个面部细胞中引发相同反应的面孔得到了证实。我们的研究表明,其他物体可能由类似的度量坐标系进行编码。回形针。