Temporal patterns analysis of spontaneous unit activity in the neocortex

Pernier, J.; Gérin, P

doi:10.1007/bf00326684

Cited by 9 publications

(6 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This model is not applicable to all neurons; while many neurons in various parts of the nervous system display ISI histograms similar to what we have observed (e.g. Corrigall and Sherebrin, 1976;Kozak and Reitboeck, 1974;Pernier and Gerin, 1975;Pfeiffer and Kiang, 1965), others, such as those neurons that yield Poisson-like ISI histograms (see above) do not. Similarly, some neurons seem to share with goldfish ganglion cells the feature that C is constant over a considerable range of maintained stimulation (e.g.…”

Section: Discussionmentioning

confidence: 45%

“…One of the most interesting models in the literature is one in which a membrane potential is assumed to rise to threshold according to a random walk with superimposed drift (Gerstein and Mandelbrot, 1964;Johannesma, 1968;Pernier, 1972;Pernier and Gerin, 1975). This model yields an expression for predicting the ISI histogram that bears a superficial resemblance to the hyperbolic normal distribution; however, the two parameters of the equation may be identified with the threshold of the spike-generating mechanism and the drift or diffusion rate (excitation of the cell), rather than being related to parameters of the statistical distribution of a noisy variable.…”

Section: Discussionmentioning

confidence: 99%

“…Obviously, multimodal distributions cannot be fit by a single hyperbolic normal distribution. We have fit all our multimodal histograms with the weighted sum of two (or three) hyperbolic normal distributions, a scheme similar to that employed by Pernier and Gerin (1975) ISIs from a red off center ganglion cell firing at a rate of 16.12 spikes/s. The shaded area represents the histogram; the smooth curve is a hyperbolic normal distribution fit to the data (a = 0.0169, fi = 0.0051).…”

Section: Curve-fitting Proceduresmentioning

confidence: 99%

See 2 more Smart Citations

A model for the variability of interspike intervals during sustained firing of a retinal neuron

Levine¹,

Shefner²

1977

Biophysical Journal

View full text Add to dashboard Cite

The statistics of the variability of interspike intervals of ganglion cells in the retina of goldfish are modeled by assuming the noise in an integrate-and-fire mechanism is proportional to the reciprocal of a normally distributed variable. This model meets the constraint that the coefficient of variation of the interspike. This does not change when the mean firing rate of the neuron changes. Alternative sources of variability of interspike intervals are discussed.

show abstract

Section: Discussionmentioning

confidence: 45%

Section: Discussionmentioning

confidence: 99%

Section: Curve-fitting Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

A model for the variability of interspike intervals during sustained firing of a retinal neuron

Levine¹,

Shefner²

1977

Biophysical Journal

View full text Add to dashboard Cite

show abstract

“…computed in each vigilance state were performed using ANOVA with the vigilance state as a factor. Autocorrelograms were calculated to roughly estimate the temporal organization of the successive spikes, since they have been described as a standard method used to detect some periodicities or singularities in the spike train (Perkel et al 1967; Pernier & Gerin, 1975). They were computed from 1120 spikes, using 10 ms bins over a 1 s period before and after each spike.…”

Section: Methodsmentioning

confidence: 99%

Electrophysiological diversity of the dorsal raphe cells across the sleep–wake cycle of the rat

Urbain

Creamer

Debonnel

2006

The Journal of Physiology

View full text Add to dashboard Cite

Through their widespread projections to the entire brain, dorsal raphe cells participate in many physiological functions and are associated with neuropsychiatric disorders. In previous studies, the width of action potentials was used as a criterion to identify putative serotonergic neurons, and to demonstrate that cells with broad spikes were more active in wakefulness, slowed down their activity in slow wave sleep and became virtually silent during paradoxical sleep. However, recent studies reported that about half of these presumed serotonergic cells were not immunoreactive for tyrosine hydroxylase. Here, we re-examine the electrophysiological properties of dorsal raphe cells across the sleep-wake cycle in rats by the extracellular recording of a large sample of single units (n = 770). We identified two major types of cells, which differ in spike waveform: a first population characterized by broad, mostly positive spikes, and a second one displaying symmetrical positive-negative spikes with a large distribution of spike durations (0.6-3.2 ms). Although we found classical broad-spike cells that were more active in wakefulness, we also found that about one-third of these cells increased or did not change their firing rate during sleep compared with wakefulness. Moreover, 62% of the latter cells were active in paradoxical sleep when most of raphe cells were silent. Such a diversity in the neuronal firing behaviour is important in the light of the recent controversy regarding the neurochemical identity of dorsal raphe cells exhibiting broad spikes. Our results also suggest that the dorsal raphe contains subpopulations of neurons with reciprocal activity across the sleep-wake cycle.

show abstract

“…Burst indexes calculated during W, SWS and PS were compared using the Wilcoxon's test (paired data); (iii) autocorrelograms (ACs), in contrast to ISHs and DDHs, take into account the temporal organization of the successive spikes and are a standard method used to detect some periodicities or singularities in a spike train (Perkel et al . 1967; Pernier & Gerin, 1975). They were typically computed from about 1000 or 2000 spikes for STN or GP neurons, respectively, using 10 ms bins over a 2‐s period after each spike.…”

Section: Methodsmentioning

confidence: 99%

Unrelated course of subthalamic nucleus and globus pallidus neuronal activities across vigilance states in the rat

Urbain

Gervasoni

Soulière

et al. 2000

Eur J of Neuroscience

View full text Add to dashboard Cite

The pallido-subthalamic pathway powerfully controls the output of the basal ganglia circuitry and has been implicated in movement disorders observed in Parkinson's disease (PD). To investigate the normal functioning of this pathway across the sleep-wake cycle, single-unit activities of subthalamic nucleus (STN) and globus pallidus (GP) neurons were examined, together with cortical electroencephalogram and nuchal muscular activity, in non-anaesthetized head-restrained rats. STN neurons shifted from a random discharge in wakefulness (W) to a bursting pattern in slow wave sleep (SWS), without any change in their mean firing rate. This burst discharge occurred in the 1-2 Hz range, but was not correlated with cortical slow wave activity. In contrast, GP neurons, with a mean firing rate higher in W than in SWS, exhibited a relatively regular discharge whatever the state of vigilance. During paradoxical sleep, both STN and GP neurons increased markedly their mean firing rate relative to W and SWS. Our results are not in agreement with the classical 'direct/indirect' model of the basal ganglia organization, as an inverse relationship between STN and GP activities is not observed under normal physiological conditions. Actually, because the STN discharge pattern appears dependent on coincident cortical activity, this nucleus can hardly be viewed as a relay along the indirect pathway, but might rather be considered as an input stage conveying corticothalamic information to the basal ganglia.

show abstract

Temporal patterns analysis of spontaneous unit activity in the neocortex

Cited by 9 publications

References 28 publications

A model for the variability of interspike intervals during sustained firing of a retinal neuron

A model for the variability of interspike intervals during sustained firing of a retinal neuron

Electrophysiological diversity of the dorsal raphe cells across the sleep–wake cycle of the rat

Unrelated course of subthalamic nucleus and globus pallidus neuronal activities across vigilance states in the rat

Contact Info

Product

Resources

About