Geisler W S, Albrecht D G
Center for Vision and Image Sciences, University of Texas, Austin 78712, USA.
Vision Res. 1995 Oct;35(19):2723-30. doi: 10.1016/0042-6989(95)00029-y.
The identification performance of single neurons in the primary visual cortex was quantified by measuring how accurately one could know the stimulus based upon the neuron's response. We found that for a typical neuron a response of 10 action potentials, following one brief stimulus presentation, was sufficient to classify the stimulus as belonging to a relatively small region in stimulus space, with a high degree of confidence. The performance was better than that which could be attained through linear summation of excitation and inhibition alone. The results suggest that the enhanced performance is a consequence of two nonlinear mechanisms: contrast gain control and expansive response exponent.
通过测量基于神经元的反应能够多准确地知晓刺激，对初级视觉皮层中单个神经元的识别性能进行了量化。我们发现，对于一个典型的神经元，在一次短暂刺激呈现后产生10次动作电位的反应，就足以高度自信地将该刺激归类为属于刺激空间中一个相对较小的区域。其性能优于仅通过兴奋和抑制的线性总和所能达到的性能。结果表明，性能的增强是两种非线性机制的结果：对比度增益控制和扩展反应指数。
