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Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells
Despite half-a-century of research since the seminal work of Hubel and Wiesel, the role of the dorsal lateral geniculate nucleus (dLGN) in shaping the visual signals is not properly understood. Placed on route from retina to primary visual cortex in the early visual pathway, a striking feature of th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805346/ https://www.ncbi.nlm.nih.gov/pubmed/29377888 http://dx.doi.org/10.1371/journal.pcbi.1005930 |
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author | Martínez-Cañada, Pablo Mobarhan, Milad Hobbi Halnes, Geir Fyhn, Marianne Morillas, Christian Pelayo, Francisco Einevoll, Gaute T. |
author_facet | Martínez-Cañada, Pablo Mobarhan, Milad Hobbi Halnes, Geir Fyhn, Marianne Morillas, Christian Pelayo, Francisco Einevoll, Gaute T. |
author_sort | Martínez-Cañada, Pablo |
collection | PubMed |
description | Despite half-a-century of research since the seminal work of Hubel and Wiesel, the role of the dorsal lateral geniculate nucleus (dLGN) in shaping the visual signals is not properly understood. Placed on route from retina to primary visual cortex in the early visual pathway, a striking feature of the dLGN circuit is that both the relay cells (RCs) and interneurons (INs) not only receive feedforward input from retinal ganglion cells, but also a prominent feedback from cells in layer 6 of visual cortex. This feedback has been proposed to affect synchronicity and other temporal properties of the RC firing. It has also been seen to affect spatial properties such as the center-surround antagonism of thalamic receptive fields, i.e., the suppression of the response to very large stimuli compared to smaller, more optimal stimuli. Here we explore the spatial effects of cortical feedback on the RC response by means of a a comprehensive network model with biophysically detailed, single-compartment and multicompartment neuron models of RCs, INs and a population of orientation-selective layer 6 simple cells, consisting of pyramidal cells (PY). We have considered two different arrangements of synaptic feedback from the ON and OFF zones in the visual cortex to the dLGN: phase-reversed (‘push-pull’) and phase-matched (‘push-push’), as well as different spatial extents of the corticothalamic projection pattern. Our simulation results support that a phase-reversed arrangement provides a more effective way for cortical feedback to provide the increased center-surround antagonism seen in experiments both for flashing spots and, even more prominently, for patch gratings. This implies that ON-center RCs receive direct excitation from OFF-dominated cortical cells and indirect inhibitory feedback from ON-dominated cortical cells. The increased center-surround antagonism in the model is accompanied by spatial focusing, i.e., the maximum RC response occurs for smaller stimuli when feedback is present. |
format | Online Article Text |
id | pubmed-5805346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58053462018-02-23 Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells Martínez-Cañada, Pablo Mobarhan, Milad Hobbi Halnes, Geir Fyhn, Marianne Morillas, Christian Pelayo, Francisco Einevoll, Gaute T. PLoS Comput Biol Research Article Despite half-a-century of research since the seminal work of Hubel and Wiesel, the role of the dorsal lateral geniculate nucleus (dLGN) in shaping the visual signals is not properly understood. Placed on route from retina to primary visual cortex in the early visual pathway, a striking feature of the dLGN circuit is that both the relay cells (RCs) and interneurons (INs) not only receive feedforward input from retinal ganglion cells, but also a prominent feedback from cells in layer 6 of visual cortex. This feedback has been proposed to affect synchronicity and other temporal properties of the RC firing. It has also been seen to affect spatial properties such as the center-surround antagonism of thalamic receptive fields, i.e., the suppression of the response to very large stimuli compared to smaller, more optimal stimuli. Here we explore the spatial effects of cortical feedback on the RC response by means of a a comprehensive network model with biophysically detailed, single-compartment and multicompartment neuron models of RCs, INs and a population of orientation-selective layer 6 simple cells, consisting of pyramidal cells (PY). We have considered two different arrangements of synaptic feedback from the ON and OFF zones in the visual cortex to the dLGN: phase-reversed (‘push-pull’) and phase-matched (‘push-push’), as well as different spatial extents of the corticothalamic projection pattern. Our simulation results support that a phase-reversed arrangement provides a more effective way for cortical feedback to provide the increased center-surround antagonism seen in experiments both for flashing spots and, even more prominently, for patch gratings. This implies that ON-center RCs receive direct excitation from OFF-dominated cortical cells and indirect inhibitory feedback from ON-dominated cortical cells. The increased center-surround antagonism in the model is accompanied by spatial focusing, i.e., the maximum RC response occurs for smaller stimuli when feedback is present. Public Library of Science 2018-01-29 /pmc/articles/PMC5805346/ /pubmed/29377888 http://dx.doi.org/10.1371/journal.pcbi.1005930 Text en © 2018 Martínez-Cañada et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Martínez-Cañada, Pablo Mobarhan, Milad Hobbi Halnes, Geir Fyhn, Marianne Morillas, Christian Pelayo, Francisco Einevoll, Gaute T. Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells |
title | Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells |
title_full | Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells |
title_fullStr | Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells |
title_full_unstemmed | Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells |
title_short | Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells |
title_sort | biophysical network modeling of the dlgn circuit: effects of cortical feedback on spatial response properties of relay cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805346/ https://www.ncbi.nlm.nih.gov/pubmed/29377888 http://dx.doi.org/10.1371/journal.pcbi.1005930 |
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