<p><b>A.</b> Population response in V1 to a stimulus before training, with (black) and without (grey) recurrent connections among V1 neurons. <b>B.</b> Input-output function in V1 neurons, with (black) and without (grey) recurrent connections among V1 neurons. <b>C.</b> Population response in V1 to the trained stimulus (preferred stimulus for neuron <b><i>A</i></b>) before and after training. <b>D.</b> Responses of neurons <b><i>A</i></b> and <b><i>B</i></b> to the trained stimulus (preferred for neuron <b><i>A</i></b>) changed due to feedback. Black line indicates input-output relation in V1. Blue arrows indicate the strength of feedback inputs. Black and grey filled circles represent neural response of neurons <b><i>A</i></b> and <b><i>B<...
<p><b>A:</b> Spontaneous (<i>blue</i>) and evoked (<i>red</i>) activity of the network for the excit...
<p>The development of the firing responses and synaptic weights of output neuron #79 before and afte...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p><b>A.</b> Training the model with stimulus <b><i>A</i></b> strengthened the feedforward and feedb...
<p>(a) Tuning curve dynamic range, the fraction by which a neuron's firing changes in response to di...
<p>Trial-dependent changes in the magnitude of error (<b>A, B</b>), the sum of the squared neural ac...
<p>Top row (<b>A</b>–<b>C</b>): Unperturbed feedback (FB; black), shuffling of spike-train senders a...
The figure shows the firing rate responses of output neurons before and after training with the stan...
(A) Behavior of output neurons (MBONs) during first-order conditioning. During training, a CS+ (blue...
<p>(A) Mean rate-intensity function for neurons in area 3b, computed from responses to sinusoids; ma...
<p><b>A</b>-Top) The network feedback (<i>C</i><sub>fb</sub>, <a href="http://www.ploscompbiol.org/a...
<p><b>A.</b> The eigenvalues of the signal correlation matrix for populations of 8 simultaneously re...
<p>Architecture of the model network and network activity. <b>a:</b> Architecture of the model netwo...
The figure shows the firing rate responses of output neuron #223 before training (A) and after train...
<p>Population analyses of receptive field properties of output neurons during succcessive stages of ...
<p><b>A:</b> Spontaneous (<i>blue</i>) and evoked (<i>red</i>) activity of the network for the excit...
<p>The development of the firing responses and synaptic weights of output neuron #79 before and afte...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p><b>A.</b> Training the model with stimulus <b><i>A</i></b> strengthened the feedforward and feedb...
<p>(a) Tuning curve dynamic range, the fraction by which a neuron's firing changes in response to di...
<p>Trial-dependent changes in the magnitude of error (<b>A, B</b>), the sum of the squared neural ac...
<p>Top row (<b>A</b>–<b>C</b>): Unperturbed feedback (FB; black), shuffling of spike-train senders a...
The figure shows the firing rate responses of output neurons before and after training with the stan...
(A) Behavior of output neurons (MBONs) during first-order conditioning. During training, a CS+ (blue...
<p>(A) Mean rate-intensity function for neurons in area 3b, computed from responses to sinusoids; ma...
<p><b>A</b>-Top) The network feedback (<i>C</i><sub>fb</sub>, <a href="http://www.ploscompbiol.org/a...
<p><b>A.</b> The eigenvalues of the signal correlation matrix for populations of 8 simultaneously re...
<p>Architecture of the model network and network activity. <b>a:</b> Architecture of the model netwo...
The figure shows the firing rate responses of output neuron #223 before training (A) and after train...
<p>Population analyses of receptive field properties of output neurons during succcessive stages of ...
<p><b>A:</b> Spontaneous (<i>blue</i>) and evoked (<i>red</i>) activity of the network for the excit...
<p>The development of the firing responses and synaptic weights of output neuron #79 before and afte...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...