Literature DB >> 12463342

Linear mechanistic models for the dorsal lateral geniculate nucleus of cat probed using drifting-grating stimuli.

G T Einevoll1, H E Plesser.   

Abstract

Experiments with sinusoidal visual stimuli in the early visual pathway have traditionally been interpreted in terms of descriptive filter models. We present an alternative mechanistic approach for interpretation of this type of data recorded from X cells in the dorsal lateral geniculate nucleus (dLGN) of cat. A general, linear, rate-based mathematical expression for the geniculate transfer ratio, i.e. the ratio between the first-harmonic components of the output of a geniculate relay cell and its retinal input, is derived. In linear theory this ratio is independent of the signal processing occurring at the retinal level. Further, the ratio is straightforwardly accessible in experiments due to the presence of S-potentials, representing the retinal input, in extracellular recordings from dLGN. The expression accounts for feedforward inputs from retina and intrageniculate interneurons as well as feedback inputs from cortex and the thalamic reticular nucleus and can be used to experimentally test different mechanistic models for the geniculate circuitry. Two examples of this are considered: a purely feedforward model incorporating relay cell inputs from retinal ganglion cells and interneurons, and a model including cortical feedback inhibition of relay cells via intrageniculate interneurons.

Mesh:

Year:  2002        PMID: 12463342     DOI: 10.1088/0954-898x/13/4/305

Source DB:  PubMed          Journal:  Network        ISSN: 0954-898X            Impact factor:   1.273


  9 in total

1.  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

2.  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

3.  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

4.  Towards reproducible descriptions of neuronal network models.

Authors:  Eilen Nordlie; Marc-Oliver Gewaltig; Hans Ekkehard Plesser
Journal:  PLoS Comput Biol       Date:  2009-08-07       Impact factor: 4.475

5.  A multi-compartment model for interneurons in the dorsal lateral geniculate nucleus.

Authors:  Geir Halnes; Sigita Augustinaite; Paul Heggelund; Gaute T Einevoll; Michele Migliore
Journal:  PLoS Comput Biol       Date:  2011-09-29       Impact factor: 4.475

6.  Estimation of thalamocortical and intracortical network models from joint thalamic single-electrode and cortical laminar-electrode recordings in the rat barrel system.

Authors:  Patrick Blomquist; Anna Devor; Ulf G Indahl; Istvan Ulbert; Gaute T Einevoll; Anders M Dale
Journal:  PLoS Comput Biol       Date:  2009-03-27       Impact factor: 4.475

7.  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

8.  Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells.

Authors:  Pablo Martínez-Cañada; Milad Hobbi Mobarhan; Geir Halnes; Marianne Fyhn; Christian Morillas; Francisco Pelayo; Gaute T Einevoll
Journal:  PLoS Comput Biol       Date:  2018-01-29       Impact factor: 4.475

9.  Firing-rate based network modeling of the dLGN circuit: Effects of cortical feedback on spatiotemporal response properties of relay cells.

Authors:  Milad Hobbi Mobarhan; Geir Halnes; Pablo Martínez-Cañada; Torkel Hafting; Marianne Fyhn; Gaute T Einevoll
Journal:  PLoS Comput Biol       Date:  2018-05-17       Impact factor: 4.475

  9 in total

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