<p>A larger stimulus engages more neurons; VEPs for individual quadrants sum up linearly to the full stimulus VEP. Bottom: large receptive fields. A larger stimulus engages the same neurons; neuronal responses saturate, VEPs for individual quadrants sum up nonlinearly to the full stimulus VEP. The neuronal response input–output nonlinearity is illustrated on the right.</p
A central goal in sensory neuroscience is to fully characterize a neuron's input-output relation. Ho...
<p>(A) Model (solid) and data (dashed) relationships between afferent firing rate and central VO neu...
A central goal in sensory neuroscience is to fully characterize a neuron's input-output relation. Ho...
<p>A: Scheme of the linear-nonlinear model to fit <b>PostE</b> responses. The stimulus is first conv...
<div><p>The computation represented by a sensory neuron's response to stimuli is constructed from an...
<p>a) Maximum number of spikes in response to a black or white stimulus for the superficial layers, ...
<p>(<b>A</b>) Normalized mean response rate of a V1 neuron (left; <a href="http://www.ploscompbiol.o...
A. Two independent inputs onto the same postsynaptic excitatory neuron. We perturb the presynaptic e...
In biological and artificial neural networks the response properties of a visual neuron are often de...
SummaryNeuronal receptive fields (RFs) play crucial roles in visual processing. While the linear RFs...
The computation represented by a sensory neuron’s response to stimuli is constructed from an array o...
SummaryCortical receptive fields represent the signal preferences of sensory neurons. Receptive fiel...
<p>Each panel shows the receptive field of 1 neuron with red indicating excitatory (preferred) respo...
<p><b>A1</b>, Experimental stimulus gain for nBP neurons (n = 14) in local and global stimulus confi...
The responses of visual neurons, as well as visual perception phenomena in general, are highly nonli...
A central goal in sensory neuroscience is to fully characterize a neuron's input-output relation. Ho...
<p>(A) Model (solid) and data (dashed) relationships between afferent firing rate and central VO neu...
A central goal in sensory neuroscience is to fully characterize a neuron's input-output relation. Ho...
<p>A: Scheme of the linear-nonlinear model to fit <b>PostE</b> responses. The stimulus is first conv...
<div><p>The computation represented by a sensory neuron's response to stimuli is constructed from an...
<p>a) Maximum number of spikes in response to a black or white stimulus for the superficial layers, ...
<p>(<b>A</b>) Normalized mean response rate of a V1 neuron (left; <a href="http://www.ploscompbiol.o...
A. Two independent inputs onto the same postsynaptic excitatory neuron. We perturb the presynaptic e...
In biological and artificial neural networks the response properties of a visual neuron are often de...
SummaryNeuronal receptive fields (RFs) play crucial roles in visual processing. While the linear RFs...
The computation represented by a sensory neuron’s response to stimuli is constructed from an array o...
SummaryCortical receptive fields represent the signal preferences of sensory neurons. Receptive fiel...
<p>Each panel shows the receptive field of 1 neuron with red indicating excitatory (preferred) respo...
<p><b>A1</b>, Experimental stimulus gain for nBP neurons (n = 14) in local and global stimulus confi...
The responses of visual neurons, as well as visual perception phenomena in general, are highly nonli...
A central goal in sensory neuroscience is to fully characterize a neuron's input-output relation. Ho...
<p>(A) Model (solid) and data (dashed) relationships between afferent firing rate and central VO neu...
A central goal in sensory neuroscience is to fully characterize a neuron's input-output relation. Ho...
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