The receptive-field positions and orientation preferences of neurons occupying the same tangential location in visual cortex are thought to be similar but to have an associated random scatter. However, previous estimates of this scatter may have been inflated by the use of subjective plotting methods, sequential recording of single units, and residual eye movements. Here we report measurements ...

Long-term changes in peripheral receptive field properties of mechanosensory/nociceptive neurons were investigated 1-3 weeks after noxious stimulation. Noxious stimuli consisted of a deep penetrating cut through the middle of the tail, strong electric shock applied to the tail surface, or a combination of deep and superficial tail stimulation. Action potentials evoked in the tail were monitored...

The classification of airborne laser scanning (ALS) point clouds is a critical task remote sensing and photogrammetry fields. Although recent deep learning-based methods have achieved satisfactory performance, they ignored the unicity receptive field, which makes ALS cloud remain challenging for distinguishment areas with complex structures extreme scale variations. In this article, objective c...

We study characteristics of receptive fields of units in deep convolutional networks. The receptive field size is a crucial issue in many visual tasks, as the output must respond to large enough areas in the image to capture information about large objects. We introduce the notion of an effective receptive field, and show that it both has a Gaussian distribution and only occupies a fraction of ...

Receptive fields acquired through unsupervised learning of sparse representations of natural scenes have similar properties to primary visual cortex (V1) simple cell receptive fields. However, what drives in vivo development of receptive fields remains controversial. The strongest evidence for the importance of sensory experience in visual development comes from receptive field changes in anima...