Literature DB >> 3689833

Applications of minimum-order Wiener modeling to retinal ganglion cell spatiotemporal dynamics.

M C Citron1, V Z Marmarelis.   

Abstract

In a previous paper (Marmarelis et al. 1986) we presented the concept of minimum-order Wiener (MOW) modeling of continuous-input/spike-output (CISO) systems. The associated MOW methodology aims at obtaining low-order Wiener models for CISO systems of practical interest. The assertion was made that many neurophysiological systems that fall in this class can be studied effectively by the use of this method. We have chosen a sensory system to demonstrate the efficacy of the method with actual experimental data. The response of retinal ganglion cells to spatiotemporal visual stimuli was studied with this approach and a second-order MOW model was obtained. The results appear to corroborate the adequacy of this model in terms of predicting the timing of the output spikes.

Mesh:

Year:  1987        PMID: 3689833     DOI: 10.1007/bf00338817

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

1.  A family of quasi-white random signals and its optimal use in biological system identification. Part I: theory.

Authors:  V Z Marmarelis
Journal:  Biol Cybern       Date:  1977-07-08       Impact factor: 2.086

2.  Nonlinear directionally selective subunits in complex cells of cat striate cortex.

Authors:  R C Emerson; M C Citron; W J Vaughn; S A Klein
Journal:  J Neurophysiol       Date:  1987-07       Impact factor: 2.714

3.  Minimum-order Wiener modelling of spike-output systems.

Authors:  V Z Marmarelis; M C Citron; C P Vivo
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

4.  White noise analysis of cortical directional selectivity in cat.

Authors:  M C Citron; R C Emerson
Journal:  Brain Res       Date:  1983-11-21       Impact factor: 3.252

5.  Nonlinear interactions in ganglion cell receptive fields.

Authors:  M C Citron; J P Kroeker; G D McCann
Journal:  J Neurophysiol       Date:  1981-12       Impact factor: 2.714

6.  Spatial organization of catfish retinal neurons. I. Single- and random-bar stimulation.

Authors:  G W Davis; K Naka
Journal:  J Neurophysiol       Date:  1980-03       Impact factor: 2.714

  6 in total
  4 in total

1.  Structural classification of multi-input nonlinear systems.

Authors:  H W Chen; L D Jacobson; J P Gaska
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

2.  Understanding spike-triggered covariance using Wiener theory for receptive field identification.

Authors:  Roman A Sandler; Vasilis Z Marmarelis
Journal:  J Vis       Date:  2015       Impact factor: 2.240

3.  A method for constructing data-based models of spiking neurons using a dynamic linear-static nonlinear cascade.

Authors:  M G Paulin
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

4.  Nonlinear analysis of biological systems using short M-sequences and sparse-stimulation techniques.

Authors:  H W Chen; C J Aine; E Best; D Ranken; R R Harrison; E R Flynn; C C Wood
Journal:  Ann Biomed Eng       Date:  1996 Jul-Aug       Impact factor: 3.934

  4 in total

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