Results 61 to 70 of about 9,662,134 (136)

Task reward structure shapes rapid receptive field plasticity in auditory cortex

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2012
As sensory stimuli and behavioral demands change, the attentive brain quickly identifies task-relevant stimuli and associates them with appropriate motor responses.
S. David, J. Fritz, S. Shamma
semanticscholar   +1 more source

Progressive Meta-Pooling Learning for Lightweight Image Classification Model [PDF]

open access: yesarXiv, 2023
Practical networks for edge devices adopt shallow depth and small convolutional kernels to save memory and computational cost, which leads to a restricted receptive field. Conventional efficient learning methods focus on lightweight convolution designs, ignoring the role of the receptive field in neural network design.
arxiv  

The Relationship between Cortical Magnification Factor and Population Receptive Field Size in Human Visual Cortex: Constancies in Cortical Architecture

open access: yesJournal of Neuroscience, 2011
Receptive field (RF) sizes and cortical magnification factor (CMF) are fundamental organization properties of the visual cortex. At increasing visual eccentricity, RF sizes increase and CMF decreases.
B. Harvey, S. Dumoulin
semanticscholar   +1 more source

Slow feature analysis yields a rich repertoire of complex cell properties [PDF]

open access: yes, 2003
In this study, we investigate temporal slowness as a learning principle for receptive fields using slow feature analysis, a new algorithm to determine functions that extract slowly varying signals from the input data.
Berkes, Pietro, Wiskott, Laurenz
core  

What are the Receptive, Effective Receptive, and Projective Fields of Neurons in Convolutional Neural Networks? [PDF]

open access: yesarXiv, 2017
In this work, we explain in detail how receptive fields, effective receptive fields, and projective fields of neurons in different layers, convolution or pooling, of a Convolutional Neural Network (CNN) are calculated. While our focus here is on CNNs, the same operations, but in the reverse order, can be used to calculate these quantities for ...
arxiv  

Light‐ and dopamine‐regulated receptive field plasticity in primate horizontal cells

open access: yesThe Journal of comparative neurology, 2011
Center‐surround antagonistic receptive fields (CSARFs) are building blocks for spatial vision and contrast perception. Retinal horizontal cells (HCs) are the first lateral elements along the visual pathway, and are thought to contribute to receptive ...
Aijun Zhang, R. Jacoby, S. Wu
semanticscholar   +1 more source

Learning Dilation Factors for Semantic Segmentation of Street Scenes

open access: yes, 2017
Contextual information is crucial for semantic segmentation. However, finding the optimal trade-off between keeping desired fine details and at the same time providing sufficiently large receptive fields is non trivial. This is even more so, when objects
DE Rumelhart   +4 more
core   +1 more source

Nature and interaction of signals from the receptive field center and surround in macaque V1 neurons.

open access: yesJournal of Neurophysiology, 2002
Information is integrated across the visual field to transform local features into a global percept. We now know that V1 neurons provide more spatial integration than originally thought due to the existence of their nonclassical inhibitory surrounds.
J. Cavanaugh, W. Bair, J. Movshon
semanticscholar   +1 more source

A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies

open access: yesJournal of Neuroscience, 2011
Area MT has been an important target for studies of motion processing. However, previous neurophysiological studies of MT have used simple stimuli that do not contain many of the motion signals that occur during natural vision. In this study we sought to
Shinji Nishimoto, J. Gallant
semanticscholar   +1 more source

On the Coding of Negative Quantities in Cortical Circuits [PDF]

open access: yes, 2008
Mullers Law of specific nerve energies introduced the idea that nerves transmit information about specific sensory features. This concept has been refined by the notion of 'labeled lines,' specific cells that capture sub-features of a sensory ...
Dana Ballard, Janneke Jehee
core   +1 more source

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