Scientists usually study the receptive fields of visual cortical neurons by measuring responses to “optimal stimuli.” In this issue of Neuron, Rust and colleagues have taken a promising alternative approach: build a receptive field model based on the cell responses to a stimulus subset and then use the model to predict responses to other stimuli
Human visual cortex comprises many visual areas that contain a map of the visual field (Wandell et a...
A model that fully describes the response properties of visual neurons must be able to predict their...
© 2019 Shi Hai SunCharacterising receptive fields (RFs) in the primary visual cortex (V1) is central...
Scientists usually study the receptive fields of visual cortical neurons by measuring responses to “...
International audienceAccurate estimation of neuronal receptive fields is essential for understandin...
© 2019 Yanbo LianWhile the eye is a complex structure, it is just the start of an even more complex ...
The traditional way to study the properties of visual neurons is to measure their responses to visua...
<p><b>a.</b> The grey square represents the simulated (2°×2°) patch of visual field, and the <i>plus...
crucial step towards understanding how the external world is represented by sensory neurons is the c...
Determining the receptive field of a retinal ganglion cell is critically important when formulating ...
© 2017 Dr. Ali AlmasiOne of the main concerns of visual neuroscience is to understand how informatio...
Vision is an important sense for humans and its understanding has a profound impact on our lives. Ev...
International audienceA fundamental challenge for the theoretical study of neuronal networks is to m...
The goal was to test how well a linear model of the responses of neurons in area 18 of cat visual co...
Receptive field (RF) models are an important tool for deciphering neural responses to sensory stimul...
Human visual cortex comprises many visual areas that contain a map of the visual field (Wandell et a...
A model that fully describes the response properties of visual neurons must be able to predict their...
© 2019 Shi Hai SunCharacterising receptive fields (RFs) in the primary visual cortex (V1) is central...
Scientists usually study the receptive fields of visual cortical neurons by measuring responses to “...
International audienceAccurate estimation of neuronal receptive fields is essential for understandin...
© 2019 Yanbo LianWhile the eye is a complex structure, it is just the start of an even more complex ...
The traditional way to study the properties of visual neurons is to measure their responses to visua...
<p><b>a.</b> The grey square represents the simulated (2°×2°) patch of visual field, and the <i>plus...
crucial step towards understanding how the external world is represented by sensory neurons is the c...
Determining the receptive field of a retinal ganglion cell is critically important when formulating ...
© 2017 Dr. Ali AlmasiOne of the main concerns of visual neuroscience is to understand how informatio...
Vision is an important sense for humans and its understanding has a profound impact on our lives. Ev...
International audienceA fundamental challenge for the theoretical study of neuronal networks is to m...
The goal was to test how well a linear model of the responses of neurons in area 18 of cat visual co...
Receptive field (RF) models are an important tool for deciphering neural responses to sensory stimul...
Human visual cortex comprises many visual areas that contain a map of the visual field (Wandell et a...
A model that fully describes the response properties of visual neurons must be able to predict their...
© 2019 Shi Hai SunCharacterising receptive fields (RFs) in the primary visual cortex (V1) is central...