The spectro-temporal receptive field or spatio-temporal receptive field (STRF) of a neuron represents which types of stimuli excite or inhibit that neuron.[1]"Spectro-temporal" refers most commonly to audition, where the neuron's response depends on frequency versus time, while "spatio-temporal" refers to vision, where the neuron's response depends on spatial location versus time. Thus they are not exactly the same concept, but both are referred to as STRF and serve a similar role in the analysis of neural responses.
If linearity is assumed, the neuron can be modeled as having a time-varying firing rate equal to the convolution of the stimulus with the STRF.
The example STRF here is for an auditory neuron from the area CM (caudal medial) of a male zebra finch, when played conspecific birdsong. The colour of this plot shows the effect of sound on this neuron: this neuron tends to be excited by sound from about 2.5 kHz to 7 kHz heard by the animal 12 ms ago, but it is inhibited by sound in the same frequency range from about 18 ms ago.
STRF generated with STRFPAK.
Visual STRFsedit
See
Dario L. Ringach Receptive Fields in Macaque Primary Visual Cortex Spatial Structure and Symmetry of Simple-Cell (2002)
J. H. van Hateren and D. L. Ruderman Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex (2002)
Idealized computational models for auditory receptive fieldsedit
A computational theory for early auditory receptive fields can be expressed from normative physical, mathematical and perceptual arguments, permitting axiomatic derivation of auditory receptive fields in two stages:[2]
a first stage of temporal receptive fields corresponding to an idealized cochlea model modeled as window Fourier transform with either Gabor functions in the case of non-causal time or Gammatone functions alternatively generalized Gammatone functions for a truly time-causal model in which the future cannot be accessed,
a second layer of spectra-temporal receptive fields modeled as Gaussian functions over the log-spectral domain and either Gaussian kernels over time in the case of non-causal time or first-order integrators (truncated exponential kernels) coupled in cascade in the case of truly time-causal operations.
These shapes of the receptive field functions in these models can be determined by necessity from structural properties of the environment combined with requirements about the internal structure of the auditory system to enable theoretically well-founded processing of sound signals at different temporal and log-spectral scales.[2]
Referencesedit
^Jean Pierre Richard; Hans-Joachim Leppelsack; Martine Hausberger (1995), "A rapid correlation method for the analysis of spectro-temporal receptive fields of auditory neurons", Journal of Neuroscience Methods, 61 (1–2): 99–103, doi:10.1016/0165-0270(95)00029-T, PMID 8618431, S2CID 40813974
^ abLindeberg, T. and Friberg, A. Idealized computational models of auditory receptive fields, PLOS ONE, 10(3): e0119032, pages 1-58, 2015
This neuroscience article is a stub. You can help Wikipedia by expanding it.
spectro, temporal, receptive, field, spectro, temporal, receptive, field, spatio, temporal, receptive, field, strf, neuron, represents, which, types, stimuli, excite, inhibit, that, neuron, spectro, temporal, refers, most, commonly, audition, where, neuron, re. The spectro temporal receptive field or spatio temporal receptive field STRF of a neuron represents which types of stimuli excite or inhibit that neuron 1 Spectro temporal refers most commonly to audition where the neuron s response depends on frequency versus time while spatio temporal refers to vision where the neuron s response depends on spatial location versus time Thus they are not exactly the same concept but both are referred to as STRF and serve a similar role in the analysis of neural responses If linearity is assumed the neuron can be modeled as having a time varying firing rate equal to the convolution of the stimulus with the STRF Contents 1 Auditory STRFs 2 Visual STRFs 3 Idealized computational models for auditory receptive fields 4 ReferencesAuditory STRFs editThe example STRF here is for an auditory neuron from the area CM caudal medial of a male zebra finch when played conspecific birdsong The colour of this plot shows the effect of sound on this neuron this neuron tends to be excited by sound from about 2 5 kHz to 7 kHz heard by the animal 12 ms ago but it is inhibited by sound in the same frequency range from about 18 ms ago nbsp STRF generated with STRFPAK Visual STRFs editSee Dario L Ringach Receptive Fields in Macaque Primary Visual Cortex Spatial Structure and Symmetry of Simple Cell 2002 J H van Hateren and D L Ruderman Independent component analysis of natural image sequences yields spatio temporal filters similar to simple cells in primary visual cortex 2002 Idealized computational models for auditory receptive fields editA computational theory for early auditory receptive fields can be expressed from normative physical mathematical and perceptual arguments permitting axiomatic derivation of auditory receptive fields in two stages 2 a first stage of temporal receptive fields corresponding to an idealized cochlea model modeled as window Fourier transform with either Gabor functions in the case of non causal time or Gammatone functions alternatively generalized Gammatone functions for a truly time causal model in which the future cannot be accessed a second layer of spectra temporal receptive fields modeled as Gaussian functions over the log spectral domain and either Gaussian kernels over time in the case of non causal time or first order integrators truncated exponential kernels coupled in cascade in the case of truly time causal operations These shapes of the receptive field functions in these models can be determined by necessity from structural properties of the environment combined with requirements about the internal structure of the auditory system to enable theoretically well founded processing of sound signals at different temporal and log spectral scales 2 References edit Jean Pierre Richard Hans Joachim Leppelsack Martine Hausberger 1995 A rapid correlation method for the analysis of spectro temporal receptive fields of auditory neurons Journal of Neuroscience Methods 61 1 2 99 103 doi 10 1016 0165 0270 95 00029 T PMID 8618431 S2CID 40813974 a b Lindeberg T and Friberg A Idealized computational models of auditory receptive fields PLOS ONE 10 3 e0119032 pages 1 58 2015 nbsp This neuroscience article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Spectro temporal receptive field amp oldid 1141251249, wikipedia, wiki, book, books, library,
