Quantitative methods for the study of the statistical properties of spontaneously occurring spike trains from single neurons have recently been presented. Such measurements suggest a number of descriptive mathematical models. One of these, based on a random walk towards an absorbing barrier, can describe a wide range of neuronal activity in terms of two parameters. These parameters are readily associated with known physiological mechanisms
Statistical analyses are applied to records obtained under conditions of spontaneous activity. These...
Single neuron models have a long tradition in computational neuroscience. Detailed biophysical model...
Nerve cells in the brain generate sequences of action potentials with a complex statistics. Theoreti...
Quantitative methods for the study of the statistical properties of spontaneously occurring spike tr...
In a growing class of neurophysiological experiments, the train of impulses (“spikes”) produced by a...
International audienceRecent advances in multi-electrodes array acquisition has made it possible to ...
International audienceRecent advances in multi-electrodes array acquisition has made it possible to ...
Four different illustrative examples of single unit data from the cochlear nucleus of anesthetized c...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
The statistical analysis of two simultaneously observed trains of neuronal spikes is described, usin...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
Traditional methods in neural data analysis are not appropriate for analyzing the spike train of a s...
Spike trains of spontaneous neuronal activity in the rabbit brain are submitted to statistical analy...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
Statistical analyses are applied to records obtained under conditions of spontaneous activity. These...
Single neuron models have a long tradition in computational neuroscience. Detailed biophysical model...
Nerve cells in the brain generate sequences of action potentials with a complex statistics. Theoreti...
Quantitative methods for the study of the statistical properties of spontaneously occurring spike tr...
In a growing class of neurophysiological experiments, the train of impulses (“spikes”) produced by a...
International audienceRecent advances in multi-electrodes array acquisition has made it possible to ...
International audienceRecent advances in multi-electrodes array acquisition has made it possible to ...
Four different illustrative examples of single unit data from the cochlear nucleus of anesthetized c...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
The statistical analysis of two simultaneously observed trains of neuronal spikes is described, usin...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
Traditional methods in neural data analysis are not appropriate for analyzing the spike train of a s...
Spike trains of spontaneous neuronal activity in the rabbit brain are submitted to statistical analy...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
International audienceRecent advances in multi-electrodes array acquisition has made it possible tor...
Statistical analyses are applied to records obtained under conditions of spontaneous activity. These...
Single neuron models have a long tradition in computational neuroscience. Detailed biophysical model...
Nerve cells in the brain generate sequences of action potentials with a complex statistics. Theoreti...