dorsal/arxiv
View SchemaThe power ratio and the interval map: spiking models and extracellular data
| Authors | Daniel S. Reich, Jonathan D. Victor, Bruce W. Knight |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0309032 |
| URL | https://arxiv.org/abs/q-bio/0309032 |
Abstract
We describe a new, computationally simple method for analyzing the dynamics of neuronal spike trains driven by external stimuli. The goal of our method is to test the predictions of simple spike-generating models against extracellularly recorded neuronal responses. Through a new statistic called the power ratio, we distinguish between two broad classes of responses: (1) responses that can be completely characterized by a variable firing rate, (for example, modulated Poisson and gamma spike trains); and (2) responses for which firing rate variations alone are not sufficient to characterize response dynamics (for example, leaky integrate-and-fire spike trains as well as Poisson spike trains with long absolute refractory periods). We show that the responses of many visual neurons in the cat retinal ganglion, cat lateral geniculate nucleus, and macaque primary visual cortex fall into the second class, which implies that the pattern of spike times can carry significant information about visual stimuli. Our results also suggest that spike trains of X-type retinal ganglion cells, in particular, are very similar to spike trains generated by a leaky integrate-and-fire model with additive, stimulus-independent noise that could represent background synaptic activity.
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"abstract": "We describe a new, computationally simple method for analyzing the dynamics\nof neuronal spike trains driven by external stimuli. The goal of our method is\nto test the predictions of simple spike-generating models against\nextracellularly recorded neuronal responses. Through a new statistic called the\npower ratio, we distinguish between two broad classes of responses: (1)\nresponses that can be completely characterized by a variable firing rate, (for\nexample, modulated Poisson and gamma spike trains); and (2) responses for which\nfiring rate variations alone are not sufficient to characterize response\ndynamics (for example, leaky integrate-and-fire spike trains as well as Poisson\nspike trains with long absolute refractory periods). We show that the responses\nof many visual neurons in the cat retinal ganglion, cat lateral geniculate\nnucleus, and macaque primary visual cortex fall into the second class, which\nimplies that the pattern of spike times can carry significant information about\nvisual stimuli. Our results also suggest that spike trains of X-type retinal\nganglion cells, in particular, are very similar to spike trains generated by a\nleaky integrate-and-fire model with additive, stimulus-independent noise that\ncould represent background synaptic activity.",
"arxiv_id": "q-bio/0309032",
"authors": [
"Daniel S. Reich",
"Jonathan D. Victor",
"Bruce W. Knight"
],
"categories": [
"q-bio.NC",
"q-bio.QM"
],
"title": "The power ratio and the interval map: spiking models and extracellular data",
"url": "https://arxiv.org/abs/q-bio/0309032"
},
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