Literature DB >> 6433403

Feed-forward inhibition in the hippocampal formation.

G Buzsáki.   

Abstract

An overview of the current literature reveals a richness and complexity of anatomical, pharmacological and physiological features of the input systems to the archicortex. Evidence is cited to demonstrate that several afferent paths terminate on and directly excite hippocampal formation interneurons ("non-principal" cells) besides their contacts with pyramidal and granule cells (principal cells). Since all interneurons are thought to be inhibitory, afferent excitation results in a dual effect: direct excitation of principal cells is coupled with concurrent disynaptic feed-forward inhibition. Interneuron activation generally precedes principal cell activation when both are driven by a given afferent path. At least some interneurons take a part in both feed-back and feed-forward inhibition. It is suggested that most of the major inputs to the hippocampal formation dually innervate both interneurons and principal cells and that the excitability of the principal cells depends upon the relative strengths of the inputs to these two cell types. The hypothesis of dual innervation appears powerful in resolving existing anatomical and physiological controversies.

Mesh:

Year:  1984        PMID: 6433403     DOI: 10.1016/0301-0082(84)90023-6

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  119 in total

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Authors:  R Miles
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Authors:  X G Li; P Somogyi; J M Tepper; G Buzsáki
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7.  Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.

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8.  Gating of signal propagation in spiking neural networks by balanced and correlated excitation and inhibition.

Authors:  Jens Kremkow; Ad Aertsen; Arvind Kumar
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9.  Cognitive disorganization in hippocampus: a physiological model of the disorganization in psychosis.

Authors:  Andrey V Olypher; Daniel Klement; André A Fenton
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10.  The cause of the imbalance in the neuronal network leading to seizure activity can be predicted by the electrographic pattern of the seizure onset.

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Journal:  J Neurosci       Date:  2009-03-18       Impact factor: 6.167

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