receptive field in deep CNNs actually grows a lot slower than we used to think. This indicatesthat a lot of local information is still preserved even after many convolution layers. However, if the ERF is smaller than the RF, this suggests thatrepresentations may retain position information, ...
论文解读《Understanding the Effective Receptive Field in Deep Convolutional Neural Networks》 感知野的概念尤为重要,对于理解和诊断CNN网络是否工作,其中一个神经元的感知野之外的图像并不会对神经元的值产生影响,所以去确保这个神经元覆盖的所有相关的图像区域是十分重要的;需要对输出图像的单个像素进行预测的任务,...
Caption: Figure 1: Local receptive field and shared weights. Convolution Neural Network Based on Two-Dimensional Spectrum for Hyperspectral Image Classification Weinberger, "Classical conditioning induces CS-specific receptive field plasticity in the auditory cortex of the guinea pig," Brain Research, vol...
然而,V1区对这种刺激产生响应的机制是不清楚的。本文揭示了来自高级视皮层到V1的反馈投射奠定了这种响应的神经基础,其所生成的感受野定义为第二感受野,又被称为反馈感受野(Feedback Receptive Field,fbRF)。 Fig. 1 前馈感受野 MethodsandDiscoveries: 1.使用老鼠作为实验对象,并将其头部固定,使用双光子钙成像方法对...
有效感受野--Understanding the Effective Receptive Field in Deep Convolutional Neural Networks,程序员大本营,技术文章内容聚合第一站。
Because the theta rhythm of the local field potential has historically been strongly associated to running speed, we investigated whether both AHV and speed cells had their activity modulated by theta. Following previous work36, we defined that a cell is theta modulated when its mean spectral power...
The receptive field is dead. Long live the receptive Held? Advances in experimental techniques, including behavioral paradigms using rich stimuli under closed loop conditions and the interfacing of neural systems w... A Fairhall - 《Current Opinion in Neurobiology》 被引量: 0发表: 2014年 Long-...
The local field potential is defined as the low-pass-filtered (300 Hz) signal, and multiunit activity (MUA) is detected by applying a voltage threshold with a signal-to-noise ratio of 5.5 on the high-pass-filtered (1000 Hz) signal. Visual stimulation Visual stimuli were presented on ...
In general, receptive fields had single regions of greatest sensitivity usually at or near the centre of the field, where that was oval in shape, with the sensitivity declining towards the field's circumference. In some units with very large fields that included parts of one or two limbs and...
Understanding the Effective Receptive Field inDeep Convolutional Neural NetworksWenjie Luo ∗ Yujia Li ∗ Raquel Urtasun Richard ZemelDepartment of Computer ScienceUniversity of Toronto{wenjie, yujiali, urtasun, zemel}@cs.toronto.eduAbstractWe study characteristics of receptive f i elds of units in...