Literature DB >> 17720684

Lack of orientation and direction selectivity in a subgroup of fast-spiking inhibitory interneurons: cellular and synaptic mechanisms and comparison with other electrophysiological cell types.

Lionel G Nowak1, Maria V Sanchez-Vives, David A McCormick.   

Abstract

Neurons in cat area 17 can be grouped in 4 different electrophysiological cell classes (regular spiking, intrinsically bursting, chattering, and fast spiking [FS]). However, little is known of the functional properties of these different cell classes. Here we compared orientation and direction selectivity between these cell classes in cat area 17 and found that a subset of FS inhibitory neurons, usually with complex receptive fields, exhibited little selectivity in comparison with other cell types. Differences in occurrence and amplitude of gamma-range membrane fluctuations, as well as in numbers of action potentials in response to optimal visual stimuli, did not parallel differences observed for orientation and direction selectivity. Instead, differences in selectivity resulted mostly from differences in tuning of the membrane potential responses, although variations in spike threshold also contributed: weakly selective FS neurons exhibited both a lower spike threshold and more broadly tuned membrane potential responses in comparison with the other cell classes. Our results are consistent with the hypothesis that a subgroup of FS neurons receives connections and possesses intrinsic properties allowing the generation of weakly selective responses. The existence of weakly selective inhibitory neurons is consistent with orientation selectivity models that rely on broadly tuned inhibition.

Mesh:

Year:  2007        PMID: 17720684      PMCID: PMC3136126          DOI: 10.1093/cercor/bhm137

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  112 in total

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3.  Comparison of different models of orientation selectivity based on distinct intracortical inhibition rules.

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4.  The contribution of spike threshold to the dichotomy of cortical simple and complex cells.

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Journal:  Nat Neurosci       Date:  2004-08-29       Impact factor: 24.884

5.  The derivation of direction selectivity in the striate cortex.

Authors:  Matthew R Peterson; Baowang Li; Ralph D Freeman
Journal:  J Neurosci       Date:  2004-04-07       Impact factor: 6.167

6.  Different roles for simple-cell and complex-cell inhibition in V1.

Authors:  Thomas Z Lauritzen; Kenneth D Miller
Journal:  J Neurosci       Date:  2003-11-12       Impact factor: 6.167

7.  An intracellular analysis of visual cortical neurones to moving stimuli: response in a co-operative neuronal network.

Authors:  O D Creutzfeldt; U Kuhnt; L A Benevento
Journal:  Exp Brain Res       Date:  1974       Impact factor: 1.972

8.  Orientation specificity of cells in cat striate cortex.

Authors:  G H Henry; B Dreher; P O Bishop
Journal:  J Neurophysiol       Date:  1974-11       Impact factor: 2.714

9.  An analysis of orientation selectivity in the cat's visual cortex.

Authors:  D Rose; C Blakemore
Journal:  Exp Brain Res       Date:  1974-04-30       Impact factor: 1.972

10.  Cortical neuronal mechanisms in flutter-vibration studied in unanesthetized monkeys. Neuronal periodicity and frequency discrimination.

Authors:  V B Mountcastle; W H Talbot; H Sakata; J Hyvärinen
Journal:  J Neurophysiol       Date:  1969-05       Impact factor: 2.714

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  49 in total

1.  Local diversity and fine-scale organization of receptive fields in mouse visual cortex.

Authors:  Vincent Bonin; Mark H Histed; Sergey Yurgenson; R Clay Reid
Journal:  J Neurosci       Date:  2011-12-14       Impact factor: 6.167

2.  Untuned suppression makes a major contribution to the enhancement of orientation selectivity in macaque v1.

Authors:  Dajun Xing; Dario L Ringach; Michael J Hawken; Robert M Shapley
Journal:  J Neurosci       Date:  2011-11-02       Impact factor: 6.167

3.  Effects of electrical coupling among layer 4 inhibitory interneurons on contrast-invariant orientation tuning.

Authors:  Pierre A Fortier
Journal:  Exp Brain Res       Date:  2010-11-11       Impact factor: 1.972

4.  Tracing inputs to inhibitory or excitatory neurons of mouse and cat visual cortex with a targeted rabies virus.

Authors:  Yong-Jun Liu; Markus U Ehrengruber; Moritz Negwer; Han-Juan Shao; Ali H Cetin; David C Lyon
Journal:  Curr Biol       Date:  2013-08-29       Impact factor: 10.834

Review 5.  Inhibitory circuits for visual processing in thalamus.

Authors:  Xin Wang; Friedrich T Sommer; Judith A Hirsch
Journal:  Curr Opin Neurobiol       Date:  2011-07-13       Impact factor: 6.627

6.  The operating regime of local computations in primary visual cortex.

Authors:  Marcel Stimberg; Klaus Wimmer; Robert Martin; Lars Schwabe; Jorge Mariño; James Schummers; David C Lyon; Mriganka Sur; Klaus Obermayer
Journal:  Cereb Cortex       Date:  2009-02-16       Impact factor: 5.357

7.  Layer 4 in primary visual cortex of the awake rabbit: contrasting properties of simple cells and putative feedforward inhibitory interneurons.

Authors:  Jun Zhuang; Carl R Stoelzel; Yulia Bereshpolova; Joseph M Huff; Xiaojuan Hei; Jose-Manuel Alonso; Harvey A Swadlow
Journal:  J Neurosci       Date:  2013-07-10       Impact factor: 6.167

8.  Strabismus disrupts binocular synaptic integration in primary visual cortex.

Authors:  Benjamin Scholl; Andrew Y Y Tan; Nicholas J Priebe
Journal:  J Neurosci       Date:  2013-10-23       Impact factor: 6.167

9.  Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression.

Authors:  Robert M Shapley; Dajun Xing
Journal:  Neural Netw       Date:  2012-09-20

10.  Flexibility of sensory representations in prefrontal cortex depends on cell type.

Authors:  Cory R Hussar; Tatiana Pasternak
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

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