We show that in an inhibitory rhythmic network synaptic depression promotes phase constancy. As cycle period increases, the synapse recovers from depression and becomes more effective in delaying the postsynaptic cell. As a result, the delay between the pre- and postsynaptic bursts increases as...

The minimum-variance theory [12] was proposed to account for the eye and arm movement. However, we point out here that i) the input signals used in the the simulations are not Poisson processes; ii) when the input signal is a Poisson process, the solution of the minimum-variance is degenerate

The paper presents the comparison of simulated brains with real brains by means of statistical properties of neurophysiological measurements (single electrode recordings and EEG). Two neural models are selected to build a simulated patch of the primary visual cortex. The first simulation uses...

Many spike detection and spike sorting algorithms are found in the literature. Their performance is either compared on the basis of experimental data or on the basis of synthetic data, mostly generated by the random distribution of spike templates in time and the addition of noise. But never...

When measured in response to non-repeating white noise, standard covariance measures of two neuronal spike trains contain components due simply to a shared stimulus. We argue that, without stimulus repeats, model-free measures cannot in general remove these stimulus-induced components. We...

We examine the factors that influence the energy efficiency of communication in spiking neural systems. Our metric of efficiency is the ratio of information rate to power consumption. We formulate quantitative models of spike jitter and power consumption that demonstrate that the number of ion...

Recently Segev et al. [1,2] have done long-term measurements of spontaneous activity of cortical cell neural networks placed on multi-electrode arrays. Their observations differ from predictions of current neural network models in many features. The aim of this paper is to show that the same EI...

Information maximization between stationary input and output activity distributions of neural ensembles has been a guiding principle in the study of neural codes. We have recently extended the approach to the optimization of information measures that capture spatial temporal signal properties....

The visual system performs complicated operations such as visual grouping efficiently on its natural input. To study this adaptation to natural stimuli we measure spatio-temporal interactions of orientations in scenes with natural temporal structure recorded using a camera mounted to a cat's...

Bursting pacemaker neurons in the pre-Bötzinger complex (pBC) were modeled in the Hodgkin-Huxley style. The single neuron model included the fast sodium, persistent sodium, and delayed rectifier potassium channels. The kinetics of the fast and persistent sodium channels were modeled using...