Results 1 to 10 of about 9,700,127 (369)
Invariance of visual operations at the level of receptive fields. [PDF]
PLoS ONE, 2013 The brain is able to maintain a stable perception although the visual stimuli vary substantially on the retina due to geometric transformations and lighting variations in the environment.
Tony Lindeberg
doaj +13 more sources
Receptive field inference with localized priors. [PDF]
PLoS Computational Biology, 2011 The linear receptive field describes a mapping from sensory stimuli to a one-dimensional variable governing a neuron's spike response. However, traditional receptive field estimators such as the spike-triggered average converge slowly and often require ...
Mijung Park, Jonathan W Pillow
doaj +11 more sources
Nonlinear Hebbian learning as a unifying principle in receptive field formation [PDF]
PLoS Comput. Biol., 2016 The development of sensory receptive fields has been modeled in the past by a variety of models including normative models such as sparse coding or independent component analysis and bottom-up models such as spike-timing dependent plasticity or the Bienenstock-Cooper-Munro model of synaptic plasticity.
Brito, Carlos S. N., Gerstner, Wulfram
arxiv +8 more sources
Bayesian population receptive field modelling [PDF]
NeuroImage, 2016 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
Aponte +40 more
core +11 more sources
Population receptive field dynamics in human visual cortex. [PDF]
PLoS ONE, 2012 Seminal work in the early nineties revealed that the visual receptive field of neurons in cat primary visual cortex can change in location and size when artificial scotomas are applied.
Koen V Haak +2 more
doaj +7 more sources
The receptive field is dead. Long live the receptive field? [PDF]
Current Opinion in Neurobiology, 2014 Advances in experimental techniques, including behavioral paradigms using rich stimuli under closed loop conditions and the interfacing of neural systems with external inputs and outputs, reveal complex dynamics in the neural code and require a revisiting of standard concepts of representation.
A. Fairhall
semanticscholar +4 more sources
Idealized computational models for auditory receptive fields [PDF]
PLoS ONE 10(3):e0119032:1-58, 2015, 2014 This paper presents a theory by which idealized models of auditory receptive fields can be derived in a principled axiomatic manner, from a set of structural properties to enable invariance of receptive field responses under natural sound transformations and ensure internal consistency between spectro-temporal receptive fields at different temporal and
Friberg, Anders, Lindeberg, Tony
arxiv +4 more sources
Receptive Field Space for Point Cloud Analysis [PDF]
SensorsSimilar to convolutional neural networks for image processing, existing analysis methods for 3D point clouds often require the designation of a local neighborhood to describe the local features of the point cloud.
Zhongbin Jiang, Hai Tao, Ye Liu
doaj +2 more sources
A Mixed Visual Encoding Model Based on the Larger-Scale Receptive Field for Human Brain Activity [PDF]
Brain Sciences, 2022 Research on visual encoding models for functional magnetic resonance imaging derived from deep neural networks, especially CNN (e.g., VGG16), has been developed.
Shuxiao Ma +5 more
doaj +2 more sources
PLoS Computational Biology, 2016 Cortical sensory neurons are commonly characterized using the receptive field, the linear dependence of their response on the stimulus. In primary auditory cortex neurons can be characterized by their spectrotemporal receptive fields, the spectral and ...
Nicol S Harper +5 more
doaj +2 more sources