Literature DB >> 11193103

Mathematical models for the spatial receptive-field organization of nonlagged X-cells in dorsal lateral geniculate nucleus of cat.

G T Einevoll1, P Heggelund.   

Abstract

Spatial receptive fields of relay cells in dorsal lateral geniculate nucleus (dLGN) have commonly been modeled as a difference of two Gaussian functions. We present alternative models for dLGN cells which take known physiological couplings between retina and dLGN and within dLGN into account. The models include excitatory input from a single retinal ganglion cell and feedforward inhibition via intrageniculate interneurons. Mathematical formulas describing the receptive field and response to circular spot stimuli are found both for models with a finite and an infinite number of ganglion-cell inputs to dLGN neurons. The advantage of these models compared to the common difference-of-Gaussians model is that they, in addition to providing mathematical descriptions of the receptive fields of dLGN neurons, also make explicit contributions from the geniculate circuit. Moreover, the model parameters have direct physiological relevance and can be manipulated and measured experimentally. The discrete model is applied to recently published data (Ruksenas et al., 2000) on response versus spot-diameter curves for dLGN cells and for the retinal input to the cell (S-potentials). The models are found to account well for the results for the X-cells in these experiments. Moreover, predictions from the discrete model regarding receptive-field sizes of interneurons, the amount of center-surround antagonism for interneurons compared to relay cells, and distance between neighboring retinal ganglion cells providing input to interneurons, are all compatible with data available in the literature.

Mesh:

Year:  2000        PMID: 11193103     DOI: 10.1017/s0952523800176060

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  13 in total

Review 1.  The influence of the corticothalamic projection on responses in thalamus and cortex.

Authors:  Florentin Wörgötter; Dirk Eyding; Jeffrey D Macklis; Klaus Funke
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-12-29       Impact factor: 6.237

2.  Brainstem modulation of visual response properties of single cells in the dorsal lateral geniculate nucleus of cat.

Authors:  I T Fjeld; O Ruksenas; P Heggelund
Journal:  J Physiol       Date:  2002-09-01       Impact factor: 5.182

3.  Linking lateral interactions in flicker perception to lateral geniculate nucleus cell responses.

Authors:  Vladislav Kozyrev; Luiz Carlos L Silveira; Jan Kremers
Journal:  J Physiol       Date:  2007-04-05       Impact factor: 5.182

4.  A minimal mechanistic model for temporal signal processing in the lateral geniculate nucleus.

Authors:  Eivind S Norheim; John Wyller; Eilen Nordlie; Gaute T Einevoll
Journal:  Cogn Neurodyn       Date:  2012-03-25       Impact factor: 5.082

5.  Firing-rate models capture essential response dynamics of LGN relay cells.

Authors:  Thomas Heiberg; Birgit Kriener; Tom Tetzlaff; Alex Casti; Gaute T Einevoll; Hans E Plesser
Journal:  J Comput Neurosci       Date:  2013-06-20       Impact factor: 1.621

6.  Cortical feedback regulation of input to visual cortex: role of intrageniculate interneurons.

Authors:  Sigita Augustinaite; Yuchio Yanagawa; Paul Heggelund
Journal:  J Physiol       Date:  2011-04-18       Impact factor: 5.182

7.  Extended difference-of-Gaussians model incorporating cortical feedback for relay cells in the lateral geniculate nucleus of cat.

Authors:  Gaute T Einevoll; Hans E Plesser
Journal:  Cogn Neurodyn       Date:  2011-11-26       Impact factor: 5.082

8.  Coarse-to-fine changes of receptive fields in lateral geniculate nucleus have a transient and a sustained component that depend on distinct mechanisms.

Authors:  Gaute T Einevoll; Paulius Jurkus; Paul Heggelund
Journal:  PLoS One       Date:  2011-09-09       Impact factor: 3.240

9.  From Receptive to Perceptive Fields: Size-Dependent Asymmetries in Both Negative Afterimages and Subcortical On and Off Post-Stimulus Responses.

Authors:  Xu Liu; Hui Li; Ye Wang; Tianhao Lei; Jijun Wang; Lothar Spillmann; Ian Max Andolina; Wei Wang
Journal:  J Neurosci       Date:  2021-07-29       Impact factor: 6.167

10.  Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells.

Authors:  Thomas Heiberg; Espen Hagen; Geir Halnes; Gaute T Einevoll
Journal:  PLoS Comput Biol       Date:  2016-05-20       Impact factor: 4.475

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