Literature DB >> 6200352

Response properties of neurons in the visual cortex of the rat.

R A Burne, J G Parnavelas, C S Lin.   

Abstract

Response properties of neurons in the visual cortex, area 17, of Long Evans pigmented rats were investigated quantitatively with computer-controlled stimuli. Ninety percent of the cells recorded (296/327) were responsive to visual stimulation. The majority (95%, 281/296) responded to moving images and were classified as complex (44%), simple (27%), hypercomplex (13%) and non-oriented (16%) according to criteria previously established for cortical cells in the cat and monkey. The remaining 5% of the neurons responded only to stationary stimuli flashed on-off in their receptive field. Results of this study indicate that neurons of the rat visual cortex have properties similar to those of cells in the striate cortex of more 'visual' mammals.

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Year:  1984        PMID: 6200352     DOI: 10.1007/bf00238168

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  40 in total

1.  Organization of cat striate cortex: a correlation of receptive-field properties with afferent and efferent connections.

Authors:  W Singer; F Tretter; M Cynader
Journal:  J Neurophysiol       Date:  1975-09       Impact factor: 2.714

2.  Receptive fields of single cells and topography in mouse visual cortex.

Authors:  U C Dräger
Journal:  J Comp Neurol       Date:  1975-04-01       Impact factor: 3.215

3.  Receptive field classes of cells in the striate cortex of the cat.

Authors:  G H Henry
Journal:  Brain Res       Date:  1977-09-09       Impact factor: 3.252

4.  Receptive fields and functional architecture of monkey striate cortex.

Authors:  D H Hubel; T N Wiesel
Journal:  J Physiol       Date:  1968-03       Impact factor: 5.182

5.  Smooth and sparsely-spined stellate cells in the visual cortex of the rat: a study using a combined Golgi-electron microscopic technique.

Authors:  A Peters; A Fairén
Journal:  J Comp Neurol       Date:  1978-09-01       Impact factor: 3.215

6.  Inhibitory sidebands of complex receptive fields in the cats striate cortex.

Authors:  K Albus; W Fries
Journal:  Vision Res       Date:  1980       Impact factor: 1.886

7.  A schematic eye for the rat.

Authors:  A Hughes
Journal:  Vision Res       Date:  1979       Impact factor: 1.886

8.  Receptive fields of neurons in areas 17 and 18 of tree shrews (Tupaia glis).

Authors:  P G Kaufmann; G G Somjen
Journal:  Brain Res Bull       Date:  1979 May-Jun       Impact factor: 4.077

9.  The forms of non-pyramidal neurons in the visual cortex of the rat.

Authors:  M L Feldman; A Peters
Journal:  J Comp Neurol       Date:  1978-06-15       Impact factor: 3.215

10.  Receptive field properties of neurons in the visual cortex of the rat.

Authors:  J G Parnavelas; R A Burne; C S Lin
Journal:  Neurosci Lett       Date:  1981-12-23       Impact factor: 3.046

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  12 in total

1.  How simple cells are made in a nonlinear network model of the visual cortex.

Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

2.  Receptive field plasticity of area 17 visual cortical neurons of adult rats.

Authors:  Ralph Leonhardt; Hubert R Dinse
Journal:  Exp Brain Res       Date:  2009-09-16       Impact factor: 1.972

3.  Desflurane selectively suppresses long-latency cortical neuronal response to flash in the rat.

Authors:  Anthony G Hudetz; Jeannette A Vizuete; Olga A Imas
Journal:  Anesthesiology       Date:  2009-08       Impact factor: 7.892

4.  Ca2+ buffering and action potential-evoked Ca2+ signaling in dendrites of pyramidal neurons.

Authors:  F Helmchen; K Imoto; B Sakmann
Journal:  Biophys J       Date:  1996-02       Impact factor: 4.033

5.  The primary visual cortex in the mouse: receptive field properties and functional organization.

Authors:  C Métin; P Godement; M Imbert
Journal:  Exp Brain Res       Date:  1988       Impact factor: 1.972

6.  Modeling the influence of optic flow on grid cell firing in the absence of other cues1.

Authors:  Florian Raudies; Ennio Mingolla; Michael E Hasselmo
Journal:  J Comput Neurosci       Date:  2012-05-05       Impact factor: 1.621

7.  Orientation and spatiotemporal tuning of cells in the primary visual cortex of an Australian marsupial, the wallaby Macropus eugenii.

Authors:  M R Ibbotson; R F Mark
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2002-12-21       Impact factor: 1.836

8.  Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons.

Authors:  H Markram; P J Helm; B Sakmann
Journal:  J Physiol       Date:  1995-05-15       Impact factor: 5.182

9.  Modeling boundary vector cell firing given optic flow as a cue.

Authors:  Florian Raudies; Michael E Hasselmo
Journal:  PLoS Comput Biol       Date:  2012-06-28       Impact factor: 4.475

10.  More complex brains are not always better: rats outperform humans in implicit category-based generalization by implementing a similarity-based strategy.

Authors:  Ben Vermaercke; Elsy Cop; Sam Willems; Rudi D'Hooge; Hans P Op de Beeck
Journal:  Psychon Bull Rev       Date:  2014-08
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