Literature DB >> 12944530

Quantitative characterization of visual response properties in the mouse dorsal lateral geniculate nucleus.

Matthew S Grubb1, Ian D Thompson.   

Abstract

We present a quantitative analysis of the visual response properties of single neurons in the dorsal lateral geniculate nucleus (dLGN) of wild-type C57Bl/6J mice. Extracellular recordings were made from single dLGN cells in mice under halothane and nitrous oxide anesthesia. After mapping the receptive fields (RFs) of these cells using reverse correlation of responses to flashed square stimuli, we used sinusoidal gratings to describe their linearity of spatial summation, spatial frequency tuning, temporal frequency tuning, and contrast response characteristics. All cells in our sample had RFs dominated by a single, roughly circular "center" mechanism that responded to either increases (ON-center) or decreases (OFF-center) in stimulus luminance, and almost all cells passed a modified null test for linearity of spatial summation. A difference of Gaussians model was used to relate spatial frequency tuning to the spatial properties of cells' RFs, revealing that mouse dLGN cells have large RFs (center diameter approximately 11 degrees) and correspondingly poor spatial resolution (approximately 0.2c/degree). Temporally, most cells in the mouse dLGN respond best to stimuli of approximately 4 Hz. We looked for evidence of parallel processing in the mouse dLGN and found it only in a functional difference between ON- and OFF-center cells: ON-center cells were more sensitive to stimulus contrast than their OFF-center neighbors.

Entities:  

Mesh:

Year:  2003        PMID: 12944530     DOI: 10.1152/jn.00699.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  73 in total

1.  Dynamics of spatial frequency tuning in mouse visual cortex.

Authors:  Samme Vreysen; Bin Zhang; Yuzo M Chino; Lutgarde Arckens; Gert Van den Bergh
Journal:  J Neurophysiol       Date:  2012-03-07       Impact factor: 2.714

2.  Selective disruption of one Cartesian axis of cortical maps and receptive fields by deficiency in ephrin-As and structured activity.

Authors:  Jianhua Cang; Cristopher M Niell; Xiaorong Liu; Cory Pfeiffenberger; David A Feldheim; Michael P Stryker
Journal:  Neuron       Date:  2008-02-28       Impact factor: 17.173

3.  Recovery from monocular deprivation using binocular deprivation.

Authors:  Brian S Blais; Mikhail Y Frenkel; Scott R Kuindersma; Rahmat Muhammad; Harel Z Shouval; Leon N Cooper; Mark F Bear
Journal:  J Neurophysiol       Date:  2008-07-23       Impact factor: 2.714

4.  A Fine-Scale Functional Logic to Convergence from Retina to Thalamus.

Authors:  Liang Liang; Alex Fratzl; Glenn Goldey; Rohan N Ramesh; Arthur U Sugden; Josh L Morgan; Chinfei Chen; Mark L Andermann
Journal:  Cell       Date:  2018-05-31       Impact factor: 41.582

5.  A precisely timed asynchronous pattern of ON and OFF retinal ganglion cell activity during propagation of retinal waves.

Authors:  Daniel Kerschensteiner; Rachel O L Wong
Journal:  Neuron       Date:  2008-06-26       Impact factor: 17.173

6.  Modeling lateral geniculate nucleus response with contrast gain control. Part 1: formulation.

Authors:  Davis Cope; Barbara Blakeslee; Mark E McCourt
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2013-11-01       Impact factor: 2.129

7.  Experience-dependent and independent binocular correspondence of receptive field subregions in mouse visual cortex.

Authors:  Rashmi Sarnaik; Bor-Shuen Wang; Jianhua Cang
Journal:  Cereb Cortex       Date:  2013-02-06       Impact factor: 5.357

8.  Genetic identification of an On-Off direction-selective retinal ganglion cell subtype reveals a layer-specific subcortical map of posterior motion.

Authors:  Andrew D Huberman; Wei Wei; Justin Elstrott; Ben K Stafford; Marla B Feller; Ben A Barres
Journal:  Neuron       Date:  2009-05-14       Impact factor: 17.173

9.  Visual responses in mice lacking critical components of all known retinal phototransduction cascades.

Authors:  Annette E Allen; Morven A Cameron; Timothy M Brown; Anthony A Vugler; Robert J Lucas
Journal:  PLoS One       Date:  2010-11-29       Impact factor: 3.240

10.  Cone inputs to murine striate cortex.

Authors:  Björn Ekesten; Peter Gouras
Journal:  BMC Neurosci       Date:  2008-11-14       Impact factor: 3.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.