Showing papers by "Barbara Martinucci published in 2005"
TL;DR: A statistical analysis of the firing activity of two coupled neuronal units that interact according to a 'sending-receiving' model and some statistical results concerning the spike production times of the units within the subintervals of the alternating inputs, as well as the reaction time of the receiving neuron are obtained.
Abstract: We present a statistical analysis of the firing activity of two coupled neuronal units that interact according to a 'sending-receiving' model. The membrane potential's behavior of both units is described by the Stein equations under the additional assumption that the spikes released by the sending neuron constitute an extra excitation for the receiving one. We also assume the presence of an alternating behavior for the rates of inputs to the sending neuron. By means of ad hoc simulations, we obtain, and then discuss, some statistical results concerning the spike production times of the units within the subintervals of the alternating inputs, as well as the reaction times of the receiving neuron.
10 citations
07 Feb 2005
TL;DR: A network consisting of two Stein-type neuronal units is analyzed and the synchronization between the neurons firing activity in the special case when one neuron is excitatory and the other is inhibitory is investigated.
Abstract: A network consisting of two Stein-type neuronal units is analyzed under the assumption of a complete interaction between the neurons. The firing of each neuron causes a jump of constant amplitude of the membrane potential of the other neuron. The jump is positive or negative according to whether the firing neuron is excitatory or inhibitory.
Making use of a simulation procedure designed by ourselves, we study the interspike intervals of the two neurons by means of their histograms, of some descriptive statistics and of empirical distribution functions. Furthermore, via the crosscorrelation function, we investigate the synchronization between the neurons firing activity in the special case when one neuron is excitatory and the other is inhibitory.
3 citations
Journal Article•
TL;DR: In this paper, a Stein-type neuron network consisting of two Stein type neurons is analyzed under the assumption of a complete interaction between the neurons, where the firing of each neuron causes a jump of constant amplitude of the membrane potential of the other neuron.
Abstract: A network consisting of two Stein-type neuronal units is analyzed under the assumption of a complete interaction between the neurons. The firing of each neuron causes a jump of constant amplitude of the membrane potential of the other neuron. The jump is positive or negative according to whether the firing neuron is excitatory or inhibitory. Making use of a simulation procedure designed by ourselves, we study the interspike intervals of the two neurons by means of their histograms, of some descriptive statistics and of empirical distribution functions. Furthermore, via the crosscorrelation function, we investigate the synchronization between the neurons firing activity in the special case when one neuron is excitatory and the other is inhibitory.
3 citations