Jehee Janneke F M, Rothkopf Constantin, Beck Jeffrey M, Ballard Dana H
Center for Visual Science, Department of Computer Science, University of Rochester, 242 Meliora Hall, Rochester, NY 14627-0270, USA.
J Physiol Paris. 2006 Jul-Sep;100(1-3):125-32. doi: 10.1016/j.jphysparis.2006.09.011. Epub 2006 Oct 25.
Previously, it was suggested that feedback connections from higher- to lower-level areas carry predictions of lower-level neural activities, whereas feedforward connections carry the residual error between the predictions and the actual lower-level activities [Rao, R.P.N., Ballard, D.H., 1999. Nature Neuroscience 2, 79-87.]. A computational model implementing the hypothesis learned simple cell receptive fields when exposed to natural images. Here, we use predictive feedback to explain tuning properties in medial superior temporal area (MST). We implement the hypothesis using a new, biologically plausible, algorithm based on matching pursuit, which retains all the features of the previous implementation, including its ability to efficiently encode input. When presented with natural images, the model developed receptive field properties as found in primary visual cortex. In addition, when exposed to visual motion input resulting from movements through space, the model learned receptive field properties resembling those in MST. These results corroborate the idea that predictive feedback is a general principle used by the visual system to efficiently encode natural input.
此前有人提出，从高级区域到低级区域的反馈连接携带低级神经活动的预测，而前馈连接携带预测与实际低级活动之间的残余误差[Rao, R.P.N., Ballard, D.H., 1999.《自然神经科学》2, 79 - 87]。一个实现该假设的计算模型在接触自然图像时学习到了简单细胞感受野。在此，我们使用预测反馈来解释内侧颞上区（MST）的调谐特性。我们基于匹配追踪使用一种新的、生物学上合理的算法来实现该假设，该算法保留了先前实现的所有特征，包括其有效编码输入的能力。当呈现自然图像时，该模型发展出了如在初级视觉皮层中发现的感受野特性。此外，当接触因在空间中移动而产生的视觉运动输入时，该模型学习到了类似于MST中的感受野特性。这些结果证实了预测反馈是视觉系统用于有效编码自然输入的一个通用原则这一观点。
