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Neurons process and encode information by generating sequences of action potentials. For all spiking neurons, the encoding of single-neuron computations into sequences of spikes is biophysically determined by the cell's action-potential-generating mechanism. It has recently been discovered that apparently minor modifications of this mechanism can(More)
The result of computational operations performed at the single cell level are coded into sequences of action potentials (APs). In the cerebral cortex, due to its columnar organization, large number of neurons are involved in any individual processing task. It is therefore important to understand how the properties of coding at the level of neuronal(More)
To understand the mechanisms of fast information processing in the brain, it is necessary to determine how rapidly populations of neurons can respond to incoming stimuli in a noisy environment. Recently, it has been shown experimentally that an ensemble of neocortical neurons can track a time-varying input current in the presence of additive correlated(More)
We study a canonical model of type-I membranes subject to correlated fluctuating input currents. We present a semi-analytical approach for calculating the response of this neuron model to time dependent inputs both in the input current and the noise amplitude using a novel sparse matrix representation of the systems Fokker–Planck operator. It turns out,(More)
We study the initiation of action potentials (APs) in in vivo recordings of cortical neurons from cat visual cortex. Recently, it was shown that cortical neurons are not simple threshold devices, emitting an AP each time a fixed voltage threshold is reached, but that the emission of an AP partly depends on the rate of change of the membrane potential(More)