| الملخص: | We create two multilayered feedforward networks composed of excitatoryand inhibitory integrate-and-fire neurons in the balanced state toinvestigate the role of cortico-pulvino-cortical connections. Thefirst network consists of ten feedforward levels where a Poisson spiketrain with varying firing rate is applied as an input in layerone. Although the balanced state partially avoids spikesynchronization during the transmission, the average firing-rate in the last layer either decays or saturates depending on the feedforwardpathway gain. The last layer activity is almost independent of the inputeven for a carefully chosen intermediate gain. Adding connectionsto the feedforward pathway by a nine areas Pulvinar structure improves the firing-rate propagation to become almost linear amonglayers. Incoming strong pulvinar spikes balance the low feedforwardgain to have a unit input-output relation in the last layer. Pulvinarneurons evoke a bimodal activity depending on the magnitude input: synchronized spike bursts between 20-80 Hz and an asynchronous activityfor very both low and high frequency inputs. In the first regime, spikes of last feedforward layer neurons areasynchronous with weak, low frequency, oscillations in the rate. Here,the uncorrelated incoming feedforward pathway washes out thesynchronized thalamic bursts. In the second regime, spikes in the wholenetwork are asynchronous. As the number of cortical layers increases,long-range pulvinar connections can link directly two or morecortical stages avoiding their either saturation or gradual activityfalling. The Pulvinar acts as a shortcut that supplies theinput-output firing-rate relationship of two separated cortical areaswithout changing the strength of connections in the feedforwardpathway.
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