منابع مشابه
Receptive Field Encoding Model for Dynamic Natural Vision
Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...
متن کاملCollaborative Receptive Field Learning
The challenge of object categorization in images is largely due to arbitrary translations and scales of the foreground objects. To attack this difficulty, we propose a new approach called collaborative receptive field learning to extract specific receptive fields (RF’s) or regions from multiple images, and the selected RF’s are supposed to focus on the foreground objects of a common category. T...
متن کاملSystem Analysis and Receptive Field
0 K(τ)s(t− τ)dτ, (1) where s(t) is the input signal, r(t) is the output signal, and K(·) is the linear kernel of the system that can be measured by using a Dirac-δ function δ(·) or any type of white noise (not necessarily gaussian) as the input signal. We take the convolution in Eq. (1) starting from 0 instead of −∞ in order to satisfy the causality condition: the input signal in the future wil...
متن کاملBayesian population receptive field modelling
We introduce a probabilistic (Bayesian) framework and associated software toolbox for mapping population receptive fields (pRFs) based on fMRI data. This generic approach is intended to work with stimuli of any dimension and is demonstrated and validated in the context of 2D retinotopic mapping. The framework enables the experimenter to specify generative (encoding) models of fMRI timeseries, i...
متن کاملReceptive Field Structures for Recognition
Localized operators, like Gabor wavelets and difference-of-gaussian filters, are considered useful tools for image representation. This is due to their ability to form a sparse code that can serve as a basis set for high-fidelity reconstruction of natural images. However, for many visual tasks, the more appropriate criterion of representational efficacy is recognition rather than reconstruction...
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ژورنال
عنوان ژورنال: Scholarpedia
سال: 2009
ISSN: 1941-6016
DOI: 10.4249/scholarpedia.5393