Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
, 93 (6), 3353-64

The Spectral Shaping of Neural Discharges by Refractory Effects

Affiliations

The Spectral Shaping of Neural Discharges by Refractory Effects

B W Edwards et al. J Acoust Soc Am.

Abstract

It has previously been shown that post-stimulus time (PST) histograms have autoregressive properties, which implies that the neural firings have spectral components that are determined by these properties. The expected power spectral density of neural discharges is derived when the process is firing at a constant rate (similar to tonal stimulation at CF with no phase locking). Although the unconditional intensity of the process is not time varying, the spectrum exhibits prominent spectral peaks. The effect of histogram bin size, stimulus intensity, and refractory effects are examined with respect to spectral shape and it is shown that stimulus intensity determines the magnitude of spectral peaks while refractory duration determines the peak locations. The effectiveness of predicting the spectrum is demonstrated with eight-nerve data and point process simulations.

Similar articles

See all similar articles

Cited by 3 PubMed Central articles

  • Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks
    RFO Pena et al. Front Comput Neurosci 12, 9. PMID 29551968.
    Recurrent networks of spiking neurons can be in an asynchronous state characterized by low or absent cross-correlations and spike statistics which resemble those of corti …
  • Noise Shaping in Populations of Coupled Model Neurons
    DJ Mar et al. Proc Natl Acad Sci U S A 96 (18), 10450-5. PMID 10468629.
    Biological information-processing systems, such as populations of sensory and motor neurons, may use correlations between the firings of individual elements to obtain low …
  • Refractoriness and Neural Precision
    MJ Berry 2nd et al. J Neurosci 18 (6), 2200-11. PMID 9482804. - Review
    The response of a spiking neuron to a stimulus is often characterized by its time-varying firing rate, estimated from a histogram of spike times. If the cell's firing pro …

Publication types

LinkOut - more resources

Feedback