Literature DB >> 7813674

Feedback inhibition in the cat's lateral geniculate nucleus.

F S Lo1, S M Sherman.   

Abstract

Feedback inhibition is generally believed to be a ubiquitous feature of brain circuitry, but few specific instances have been documented. An example in cats is the supposed feedback circuit involving relay cells of the lateral geniculate nucleus and cells of the perigeniculate nucleus (a part of the thalamic reticular nucleus): geniculate relay cells innervate the perigeniculate nucleus, which, in turn, provides an inhibitory, GABAergic projection back to the lateral geniculate nucleus. However, feedback inhibition at the single-cell level requires that a given perigeniculate cell project back onto the same geniculate relay cell that innervates it. We probed for this in an in vitro slice preparation of the cat's lateral geniculate nucleus. We evoked a single action potential in a geniculate cell via a brief, depolarizing pulse delivered through an intracellular recording electrode and looked for any evoked hyperpolarizations. For 6 of the 36 geniculate cells tested, we observed a long-lasting hyperpolarization after the action potential, and much of this was eliminated by application of bicuculline, suggesting synaptically activated inhibitory postsynaptic potentials. We interpreted this to be clear evidence that a given neuron may inhibit itself via circuitry mediating feedback inhibition in the cat's lateral geniculate nucleus.

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Year:  1994        PMID: 7813674     DOI: 10.1007/bf00227207

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


  16 in total

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Authors:  W Singer
Journal:  Physiol Rev       Date:  1977-07       Impact factor: 37.312

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Journal:  Exp Brain Res       Date:  1986       Impact factor: 1.972

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Journal:  Synapse       Date:  1989       Impact factor: 2.562

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Authors:  S A Bloomfield; S M Sherman
Journal:  J Neurophysiol       Date:  1988-12       Impact factor: 2.714

Review 5.  The functional states of the thalamus and the associated neuronal interplay.

Authors:  M Steriade; R R Llinás
Journal:  Physiol Rev       Date:  1988-07       Impact factor: 37.312

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Authors:  W Burke; A Jervie Sefton
Journal:  J Physiol       Date:  1966-11       Impact factor: 5.182

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Authors:  V Crunelli; N Leresche
Journal:  Trends Neurosci       Date:  1991-01       Impact factor: 13.837

8.  On the properties and origin of the GABAB inhibitory postsynaptic potential recorded in morphologically identified projection cells of the cat dorsal lateral geniculate nucleus.

Authors:  I Soltesz; S Lightowler; N Leresche; V Crunelli
Journal:  Neuroscience       Date:  1989       Impact factor: 3.590

9.  Ionic basis for the electro-responsiveness and oscillatory properties of guinea-pig thalamic neurones in vitro.

Authors:  H Jahnsen; R Llinás
Journal:  J Physiol       Date:  1984-04       Impact factor: 5.182

10.  Cl- - and K+-dependent inhibitory postsynaptic potentials evoked by interneurones of the rat lateral geniculate nucleus.

Authors:  V Crunelli; M Haby; D Jassik-Gerschenfeld; N Leresche; M Pirchio
Journal:  J Physiol       Date:  1988-05       Impact factor: 5.182

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  5 in total

1.  Three GABA receptor-mediated postsynaptic potentials in interneurons in the rat lateral geniculate nucleus.

Authors:  J J Zhu; F S Lo
Journal:  J Neurosci       Date:  1999-07-15       Impact factor: 6.167

2.  Electrical and chemical synapses between relay neurons in developing thalamus.

Authors:  Seung-Chan Lee; Scott J Cruikshank; Barry W Connors
Journal:  J Physiol       Date:  2010-05-10       Impact factor: 5.182

3.  Synaptic integration in striate cortical simple cells.

Authors:  J A Hirsch; J M Alonso; R C Reid; L M Martinez
Journal:  J Neurosci       Date:  1998-11-15       Impact factor: 6.167

4.  Recurrent inhibitory circuitry in the deep layers of the rabbit superior colliculus.

Authors:  J J Zhu; F S Lo
Journal:  J Physiol       Date:  2000-03-15       Impact factor: 5.182

5.  Signal Propagation via Open-Loop Intrathalamic Architectures: A Computational Model.

Authors:  Jeffrey W Brown; Aynaz Taheri; Robert V Kenyon; Tanya Y Berger-Wolf; Daniel A Llano
Journal:  eNeuro       Date:  2020-02-25
  5 in total

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