Literature DB >> 12020077

Modeling corticofugal feedback and the sensitivity of lateral geniculate neurons to orientation discontinuity.

F Hayot1, D Tranchina.   

Abstract

We model feedback from primary visual cortex to the dorsal lateral geniculate nucleus (dLGN). This feedback makes dLGN neurons sensitive to orientation discontinuity (Sillito et al., 1993; Cudeiro & Sillito, 1996). In the model, each dLGN neuron receives retinotopic input driven by layer 6 cortical neurons in a full set of orientation columns. Excitation is monosynaptic, while inhibition is through perigeniculate neurons and dLGN interneurons. The stimulus consists of drifting gratings,k one within and the other outside a circular region centered over the receptive field of the model dLGN relay neuron we study. They appear as a single grating when they are aligned with equal contrast. The model reproduces experimental results showing an increasing inhibitory effect of feedback on the firing rate of dLGN neurons as the two gratings move towards the aligned position. Moreover, enhancement of dLGN cell center-surround antagonism by feedback is revealed by measuring the responses to drifting gratings inside a circular window, as a function of window radius. This effect is related to the observed length tuning of dLGN cells. Sensitivity to orientation discontinuity could be mediated in the model by feedback from either simple or complex cells. The model puts constraints on the feedback synaptic footprint and shows that its elongated shape does not play a crucial role in sensitivity to orientation discontinuity. The inhibitory component of feedback must predominate overall, but the feedback signal from a cortical neuron to a dLGN neuron with the same or nearby receptive-field center can be dominated by excitation. Predictions of the model include (1) robust stimuli for layer 6 cortical neurons give pronounced nonlinearities in the responses of dLGN neurons; (2) the sensitivity to orientation discontinuity at low contrast is twice that at high contrast.

Mesh:

Year:  2001        PMID: 12020077

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


  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.  Development of spatial coarse-to-fine processing in the visual pathway.

Authors:  Jasmine A Nirody
Journal:  J Comput Neurosci       Date:  2014-06       Impact factor: 1.621

4.  Visualizing neuronal network connectivity with connectivity pattern tables.

Authors:  Eilen Nordlie; Hans Ekkehard Plesser
Journal:  Front Neuroinform       Date:  2010-01-29       Impact factor: 4.081

5.  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

6.  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

7.  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

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

北京卡尤迪生物科技股份有限公司 © 2022-2023.