It is useful to describe neural elements in terms of theirreceptive fields(fig. 3.9). A diagram of a neuron’s receptive field represents the contributions of regions in the visualfield to the activity of that cell. A single cone receptor has a simple receptive field whose shape is determined...
In a neural network, each neuron receives input only from a limited area, which is called the receptive field. Fig. 3 will help to understand the RF. The representations extracted by the neural network represent the local area of the input and possess a small receptive field, while the deep...
Such feature selectivity is here derived from compositions of activities in the spatio-temporal domain and integrating over larger space-time regions (receptive fields). In order to account for the bidirectional coupling of cortical areas we match properties of the feature selectivity in both areas ...
separability需要the spatial structure of the receptive field not change over time except by an overall multiplicative factor。 Spatial Receptive Fields ON regions( D_s 为正),OFF regions 用Gabor function近似spatial receptive field of a simple cell D_s(x,y)=\frac{1}{2\pi \sigma_x \sigma_y...
In the vertebrate retina, the location of a neuron’s receptive field in visual space closely corresponds to the physical location of synaptic input onto its dendrites, a relationship called the retinotopic map. We report the discovery of a systematic spatial offset between the ON and OFF recepti...
and its organization provided by the RNA-Seq method has revealed many novel transcribed regions, splice isoforms, and single nucleotide polymorphisms (SNPs), and has allowed the refinement of gene structures13–17. Finally, RNA-Seq generates absolute rather than relative gene expression measurements, ...
We find no region-by-TRW interactions across temporal and inferior frontal regions, which are all sensitive to both word-level and sentence-level information. Therefore, the language network as a whole constitutes a unique stage of information integration within a broader cortical hierarchy....
example, neural activity in many areas of the cerebral cortex is strongly modulated by movement and posture2,3, and activity profiles in somatosensory regions can be difficult to analyze without understanding the physics and high-resolution dynamics of touch. Important aspects of social behavior, ...
Only those regions of a place field where the firing rate exceeded a certain percentage of the peak firing rate were included in the analysis. The population mean value of skewness was negative for all of the values of the threshold tested. Threshold values for which the population had a ...
In the context of convolutional neural networks (CNNs), the receptive field of a neuron denotes the area of the input image that influences the activation of that neuron. As data propagate through various layers of CNNs, the receptive field of neurons gradually increases, enabling them to ...